Benefits Of Medicine Research Articles

A Genomic Revolution: Advancing Health and Knowledge in Latin America

Editorial: Pioneering Genetics and Genomics Research for Regional Progress As we enter the second year of the Genetics and Clinical Genomics Journal, there is much anticipation for the future of this field in the region. It’s remarkable to see how far we’ve come in such a short time. This journal was born from a vision to bring together the best of genetics and genomics research and make a meaningful impact on healthcare and education in our region. That vision is becoming a reality, thanks to the incredible contributions of our authors and the support of our readers. This issue features an impressive selection of articles that highlight the power of genomic research to transform lives. Our Case Reports section includes stories of rare and complex conditions where genetics has played a critical role: In Hypotonic syndrome as a manifestation of an ultra-rare disease caused by a novel de novo variant in the PLA2G6 gene, we see the intricate process of solving a diagnostic mystery and its profound implications for patient care. De novo variant in the COL1A1 gene associated with an orphan genetic disease: Type I osteogenesis imperfecta sheds light on a rare condition that challenges both families and clinicians but also presents opportunities for targeted treatments. De novo genetic variant in Epileptic Encephalopathy: The importance of specific diagnosis highlights how pinpointing a genetic cause can lead to more effective therapeutic strategies. Finally, Detection of a genetic variant in Apert syndrome examines a condition that, while rare, has significant developmental and therapeutic implications. Our Review Articles, Literature review and Advances and perspectives on genetic pathologies in the 21st century, provide valuable overviews of current trends and emerging possibilities, serving as essential guides for anyone engaged in genetic research or clinical practice. Why This Matters Genetics and genomics are no longer rare disciplines they’re reshaping how we understand health and disease. In our region, this knowledge has the potential to address long-standing healthcare inequities, ensuring that advances in precision medicine benefit all communities, not just a select few. Equally exciting is the role genetics can play in education. Training the next generation of healthcare providers and researchers to harness the power of genomics is essential. By investing in education, we’re laying the groundwork for a future where genomic medicine is fully integrated into everyday practice. This journal is a testament to what’s possible when we work together—scientists, clinicians, educators, and policymakers. It’s an invitation to keep pushing boundaries, asking tough questions, and finding answers that matter. Thank you for joining us on this journey. I hope you find this issue inspiring, thought-provoking, and a reminder of the incredible potential within genetics and genomics to create a healthier, more equitable world.

Ethnomedicinal uses, Pharmacological activity, and Analytical aspects of Galuteolin: A Natural Flavonoid of Medicinal Importance

Background: Nature is the best source of all raw materials that we need for growth, development, and better health. Flavonoids are an important class of phytochemicals found to be present in plants and their derived byproducts. Lonicera japonica and its active phytochemicals possess antiviral, anti-endotoxin, anti-pyretic, and blood fat-reducing properties in medicine. Moreover, Galuteolin is a natural flavonoid that has anti-oxidant, anti-tumor, anti-infective, and antiinflammatory potential. Methods: In the present review article, we have collected all scientific information on galuteolin from different scientific databases and analyzed it to know the biological importance and therapeutic benefit of galuteolin in medicine against human disorders. Scientific data on galuteolin were collected from numerous literature databases, such as Google, Google Scholar, PubMed, Scopus and Science Direct. Detailed pharmacological data on galuteolin were collected from these scientific sources and analyzed in the present work to know the health-beneficial aspects of galuteolin in medicine. In addition, scientific data on analytical techniques of galuteolin were also collected and analyzed in the present work to know their importance in the separation, isolation, and identification of galuteolin in different plant materials. Results: The present work signified the biological importance of galuteolin in medicine and other allied health sectors. Pharmacological data analysis revealed the health-beneficial aspects of galuteolin on rheumatoid arthritis, cerebral ischemia, carcinoma, COVID-19, Atherosclerosis, and melanin biosynthesis. Further, intestinal absorption and pharmacokinetic parameters of galuteolin were also discussed in the present work. Analytical data signified the importance of newer and modern analytical techniques in medicine for the qualitative and quantitative analysis of galuteolin in different biological samples. Conclusion: Scientific data analysis of galuteolin revealed its biological importance and therapeutic benefit in medicine.

An Evaluation of the Contribution of African Traditional Medicine to Healthcare Delivery: A Case Study of Selected Herbal Centres in Akuapem, Ghana

Traditional medicine has become indispensable in contemporary healthcare delivery in both rural and urban communities in Ghana and beyond as it is patronized by people of various social statuses. The purpose of this study is to comprehend the weaknesses and strengths of traditional medicine preparation, administration, and use within Ghana’s healthcare system. With the use of a semi-structured interview guide, purposive and random sampling techniques were employed in this qualitative study to gather data from a well-established traditional medical facility as well as two native healers all in the Akuapem enclave of Ghana. It was noted that despite significant setbacks such as poor preservation and storage of herbs and medications, a lack of labeling and expiration dates, and noncompliance with quality control and assurance procedures among others in the operations of certain local herbalists, traditional medicine has been improved in some areas through the application of contemporary scientific and technological knowledge. To enhance their practices and optimize the benefits of traditional medicine, the study suggests assistance for the many herbal medicine practitioners who are operating clandestinely and outside of the accepted standards. The study provides empirical evidence on the evolution of African traditional medicine and identifies areas for improvement to enhance its significance in Ghana’s healthcare delivery. It also emphasizes the necessity for effective collaboration between conventional healthcare providers and traditional health practitioners in the delivery of quality healthcare in Ghana. Keywords: Traditional Healthcare, African Traditional Medicine, Western Scientific Medicine, Healthcare Delivery, Akuapem – Ghana

Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine.

Health data comprise data from different aspects of healthcare including administrative, digital health, and research-oriented data. Together, health data contribute to and inform healthcare operations, patient care, and research. Integrating artificial intelligence (AI) into healthcare requires understanding these data infrastructures and addressing challenges such as data availability, privacy, and governance. Federated learning (FL), a decentralized AI training approach, addresses these challenges by allowing models to learn from diverse datasets without data leaving its source, thus ensuring privacy and security are maintained. This report introduces FL and discusses its potential in transfusion medicine and blood supply chain management. FL can offer significant benefits in transfusion medicine by enhancing predictive analytics, personalized medicine, and operational efficiency. Predictive models trained on diverse datasets by FL can improve accuracy in forecasting blood transfusion demands. Personalized treatment plans can be refined by aggregating patient data from multiple institutions using FL, reducing adverse reactions and improving outcomes. Operational efficiency can also be achieved through precise demand forecasting and optimized logistics. Despite its advantages, FL faces challenges such as data standardization, governance, and bias. Harmonizing diverse data sources and ensuring fair, unbiased models require advanced analytical solutions. Robust IT infrastructure and specialized expertise are needed for successful FL implementation. FL represents a transformative approach to AI development in healthcare, particularly in transfusion medicine. By leveraging diverse datasets while maintaining data privacy, FL has the potential to enhance predictions, support personalized treatments, and optimize resource management, ultimately improving patient care and healthcare efficiency.

SMS Medicine: Revolutionizing Healthcare Delivery through Mobile Technology

In the contemporary era, digital technologies have significantly transformed the medical sector, enhancing accessibility and efficiency through advanced connectivity. Telemedicine, a pivotal advancement in medical science, facilitates remote diagnosis and treatment via telephones and other digital devices. Among various telemedicine modalities, Short Message Service (SMS) medicine emerges as a particularly effective method for delivering healthcare services over long distances using mobile technologies. This paper explores the transformative potential of SMS medicine in healthcare delivery, particularly in low-resource settings and during emergencies such as the COVID-19 pandemic, where it served as a critical tool in maintaining patient care while minimizing physical contact. Through a comprehensive literature review and analysis of case studies, the study highlights the benefits of SMS medicine, including cost-effectiveness, scalability, improved medication adherence, chronic disease management, and enhanced patient-provider communication. Additionally, the integration of SMS with web and mobile applications, such as MDLIVE and Updox, demonstrates increased flexibility and accessibility for patients, especially in rural areas. However, the implementation of SMS medicine is not without challenges, including data privacy concerns, technological limitations, disparities in mobile phone access, and the need for effective integration with existing healthcare systems. The paper also discusses future directions, emphasizing the potential integration of artificial intelligence (AI) and the Internet of Things (IoT) to further enhance personalized medicine and real-time health monitoring. By addressing these challenges and leveraging SMS’s strengths, SMS medicine can bridge critical gaps in healthcare access and delivery, offering sustainable and inclusive solutions for diverse populations. This research underscores the significance of SMS medicine in revolutionizing healthcare systems, particularly in resource-limited environments.

Osteopathic Research in Family Medicine.

Osteopathic physicians (DOs) comprise a growing portion of family physicians. In 2023, more DO seniors matched into family medicine than MD seniors, and nearly a quarter of US DO seniors matched into family medicine. Family medicine benefits from the osteopathic philosophy of whole-person care, though this provides challenges regarding research in family medicine. Notably, among students entering family medicine, MD students report an average of 2.4 research activities compared with 1.7 for DO students, marking the lowest values across specialties. There are multifarious reasons for the limited research exposure of osteopathic medical students, and 2 may be amenable to change. First, osteopathic trainees have relatively limited research exposure. Second, osteopathic manipulation training emphasizes techniques that are not compatible with current theories of anatomy and pathology. The reduced research emphasis among osteopathic trainees can be addressed by strategies that focus on enhanced research exposure and a cultural shift toward fearless reevaluation of these inconsistent beliefs. Improvements in research training and culture among osteopathic trainees (including medical students and residents) will directly benefit osteopathic medicine, family medicine, and patients.

Evidence of clinical benefit of cancer medicines considered for funding in Australia.

To describe the type of evidence and the clinical benefit of cancer medicines assessed for funding in Australia by the Pharmaceutical Benefits Advisory Committee (PBAC) and to assess it with the European Society of Medical Oncology Magnitude of Clinical Benefit Scale version 1.1 (ESMO-MCBS). All data on applications submitted to PBAC between 2010 and 2020 were extracted from PBAC Public Summary Documents available online. ESMO-MCBS ratings were retrieved from the ESMO-MCBS website. Then, 182 cancer indications for 100 cancer medicines were examined by PBAC, including 124 (68.1 percent) for solid tumors and 58 (31.9 percent) for hematological cancers. A total of 137 (75.3 percent) indications were recommended for PBS funding and 40 (21.9 percent) were rejected. Randomized clinical trials (RCTs) were the main source of evidence in 154 indications (84.6 percent), single-arm studies in 28 (15.4 percent) indications. Statistically significant improvement in overall survival (OS) was reported in 80 (44 percent) of the indications, with a median OS gain of 3.0months (range 0.9-17.0) for solid tumors and 8.2months (range 1-49.1) for hematological cancers when mature OS data were available. The ESMO-MCBS score was available for 99 solid tumor indications, of which 51 (51.5 percent) showed substantial clinical benefit according to ESMO-MCBS, including 40 (54.1 percent) of PBAC-recommended indications and 9 (42.9 percent) of PBAC-rejected indications. There was no association between the ESMO scoring and PBAC decision. Most cancer medicines indications considered by PBAC were supported by RCTs. A minority showed a substantial improvement in OS.

Using Chronic Kidney Disease as a Model Framework to Estimate Healthcare-Related Environmental Impact.

While the economic and clinical burden of chronic diseases are well documented, their environmental impact remains poorly understood. We developed a framework to estimate the environmental impact of a disease care pathway using chronic kidney disease (CKD) as an example. A life cycle assessment framework was developed for the CKD care pathway and validated by experts. Life cycle stages were characterised for resource utilisation based on a literature review and ecoinvent database inputs, in ten countries. The ReCiPe impact assessment method was used to calculate impacts across multiple environmental dimensions. At CKD stage5, kidney replacement therapies (KRT) have highest impact; emissions ranged between 3.5 and 43.9kg carbon dioxide equivalents (CO2e) per session depending on dialysis modality, and 336-2022kgCO2e for kidney transplant surgery, depending on donor type. Hospitalisations have a substantial environmental impact: a 1-day intensive care stay had highest impact (66.4-143.6kgCO2e), followed by a 1-day hospital stay (28.8-63.9kgCO2e) and an 8-h emergency room visit (14.4-27.5kgCO2e). Patient transport to and from healthcare sites was a key driver of environmental impact for all life cycle stages, representing up to 99.5% of total CO2e emissions. Full care pathways should be analysed alongside specific healthcare processes. Application of this framework enables quantification of the environmental benefits of preventative medicine and effective management of chronic diseases. For CKD, early diagnosis, and proactive management to reduce the need for KRT and hospitalisations could improve patient outcomes and reduce environmental burden.

Artificial Intelligence in Breast Cancer Diagnosis and Treatment: Advances in Imaging, Pathology, and Personalized Care.

Breast cancer is the most prevalent cancer worldwide, affecting both low- and middle-income countries, with a growing number of cases. In 2024, about 310,720 women in the U.S. are projected to receive an invasive breast cancer diagnosis, alongside 56,500 cases of ductal carcinoma in situ (DCIS). Breast cancer occurs in every country of the world in women at any age after puberty but with increasing rates in later life. About 65% of women with the BRCA1 and 45% with the BRCA2 gene variants develop breast cancer by age 70. While these genes account for 5% of breast cancers, their prevalence is higher in certain populations. Advances in early detection, personalised medicine, and AI-driven diagnostics are improving outcomes by enabling a more precise analysis, reducing recurrence, and minimising treatment side effects. Our paper aims to explore the vast applications of artificial intelligence within the diagnosis and treatment of breast cancer and how these advancements can contribute to elevating patient care as well as discussing the potential drawbacks of such integrations into modern medicine. We structured our paper as a non-systematic review and utilised Google Scholar and PubMed databases to review literature regarding the incorporation of AI in the diagnosis and treatment of non-palpable breast masses. AI is revolutionising breast cancer management by enhancing imaging, pathology, and personalised treatment. In imaging, AI can improve the detection of cancer in mammography, MRIs, and ultrasounds, rivalling expert radiologists in accuracy. In pathology, AI enhances biomarker detection, improving HER2 and Ki67 assessments. Personalised medicine benefits from AI's predictive power, aiding risk stratification and treatment response. AI also shows promise in triple-negative breast cancer management, offering better prognosis and subtype classification. However, challenges include data variability, ethical concerns, and real-world validation. Despite limitations, AI integration offers significant potential in improving breast cancer diagnosis, prognosis, and treatment outcomes.

Medical students and house officers’ perception, attitude and potential barriers towards artificial intelligence in Egypt, cross sectional survey

BackgroundArtificial intelligence (AI) is one of the sectors of medical research that is expanding the fastest right now in healthcare. AI has rapidly advanced in the field of medicine, helping to treat a variety of illnesses and reducing the number of diagnostic and follow-up errors.ObjectiveThis study aims to assess the perception and attitude towards artificial intelligence (AI) among medical students & house officers in Egypt.MethodsAn online cross-sectional study was done using a questionnaire on the Google Form website. The survey collected demographic data and explored participants’ perception, attitude & potential barriers towards AI.ResultsThere are 1,346 responses from Egyptian medical students (25.8%) & house officers (74.2%). Most participants have inadequate perception (76.4%) about the importance and usage of AI in the medical field, while the majority (87.4%) have a negative attitude. Multivariate analysis revealed that age is the only independent predictor of AI perception (AOR = 1.07, 95% CI 1.01–1.13). However, perception level and gender are both independent predictors of attitude towards AI (AOR = 1.93, 95% CI 1.37–2.74 & AOR = 1.80, 95% CI 1.30–2.49, respectively).ConclusionThe study found that medical students and house officers in Egypt have an overall negative attitude towards the integration of AI technologies in healthcare. Despite the potential benefits of AI-driven digital medicine, most respondents expressed concerns about the practical application of these technologies in the clinical setting. The current study highlights the need to address the concerns of medical students and house officers towards AI integration in Egypt. A multi-pronged approach, including education, targeted training, and addressing specific concerns, is necessary to facilitate the wider adoption of AI-enabled healthcare.

Astragalus membranaceus: A Traditional Chinese Medicine with Multifaceted Impacts on Breast Cancer Treatment

Breast cancer, the most prevalent malignant tumor among women globally, remains a critical area of focus for researchers striving to refine therapeutic approaches. As an important component of traditional Chinese medicine, Astragalus membranaceus (AM) has demonstrated potential for multifaceted impacts on breast cancer treatment through various mechanisms. To guide clinical practice and further explore the under-researched field of AM in breast cancer treatment, this paper mainly reviews the regulatory roles of AM-derived compounds and extracts on breast cancer cell proliferation, migration, invasion, and chemoresistance. Furthermore, this study delves into the synergistic effects observed when AM is co-administered with chemotherapeutic agents, including the enhancement of chemosensitivity, mitigation of toxic side effects, and reversal of drug resistance. This review indicates that AM holds promise not only as a therapy in breast cancer treatment but also paves the way for innovative integrated treatment approaches that combine the benefits of traditional medicine with modern pharmaceuticals. Nevertheless, future research endeavors are also urged to elucidate the in vivo pharmacological effects and underlying mechanisms of AM to inform more effective clinical treatment strategies.

HERBAL-INFUSED EGYPTIAN BEE HONEY, A BOON OR A CURSE, ITS IMPACT ON SENSORIAL, PHYSICOCHEMICAL & ANTIBACTERIAL PROPERTIES

Herbal honey mixture remedies are well known for their therapeutic benefits in traditional medicine. This research aspired to assess melissopalynological, sensorial, physicochemical, & antibacterial activity for three types of honey (clover, citrus, and cucurbits) and their mixtures with black seed, date palm pollen, & wheat germ at 1, 2.5, & 5%. The best mixtures were chosen according to overall acceptability. Consumer’s preference was given to raw honey. However, some mixtures were as acceptable as raw honey. Melissopalynological analysis and lower glucose level compared to fructose are evidences that honeys are natural. Infusing herbs with different types of honey caused higher electrical conductivity, free acidity, ash, H2O2, HMF levels, and lower pH. Type of honey and herb may affect the physicochemical characteristics of honey in different ways. Honey whether used alone or in combination with the three herbs, demonstrated the same significant antibacterial effect for Staphylococcus aureus and MRSA. Inhibition zones of honey and its mixtures were lower than the control for Pseudomonas aeruginosa. Most undiluted samples created larger bacterial inhibition zones than their 50% diluted counterparts. Depending on the type of honey, the herb and additive concentration, infusing herbs with honey could alter its chemical, physical, and antibacterial qualities.

Literature Supported Model for Implementing Effective Use of Simulation and Debriefing in Paramedic Education

The purpose of this paper is to provide a literature supported pathway to incorporating effective simulated learning experiences (SLE) into paramedic precertification courses. The literature is sparse on simulation incorporation into paramedic programs; however, it demonstrates extensive benefit in medicine and nursing. Paramedic educators have access to simulation equipment, yet seldom use it for more than skills development. Studies show that effective simulation can lead to improved patient care, outcomes, and safety, but requires ongoing faculty development, especially in the area debriefing. Learning the structure and purpose of debriefing and committing to practicing the skill is crucial to unpacking meaning from a SLE. This paper describes the reasons for implementing SLEs into paramedic precertification courses, suggests a comprehensive model for faculty development, describes a debriefing method for immersive SLEs, and provides guidance for ongoing simulation professional development.

"I Have Come Because I See You Care About Me": Recruiting Older Black Americans for Genomic Research.

The lack of diversity in genomic studies is a disparity that influences our understanding of human genomic variation and threatens equity in the benefits of precision medicine. Given our current genomic research with Black older adults, we conducted a qualitative study to elucidate participants' knowledge, attitudes, and beliefs about genomic research and research participation and what factors contribute to their willingness to participate and to gain insights into barriers that researchers may have in recruiting Black Americans. We conducted semistructured interviews (N=16) with previous genomic research participants, and an inductive thematic approach was used to code and interpret the data. The mean age was 70, 82% reported <$15,000 annual income, and 100% participated in genomic research. The results note that genomic research is poorly understood despite participation in prior genomic studies, and cultural beliefs about health and managing health impact an individual's research participation. Although not all participants identified with historical distrust, those who did report health system distrust also contributed distrust in research. Relationship building facilitates research participation, especially when perceived as personally relevant and meaningful. Participant incentives and convenience to engage in the study are less important if the personal benefits or relevance of the research are clear. Our results provide new context into the importance of relationship building and research literacy and highlight new considerations for engaging racially diverse populations in research.

Basal Area, Soil, and Elevation Factors Affecting The Essential Oils Yield, Geranyl Acetate, and D-Limonene of Zanthoxylum acanthopodium

Andaliman (Z. acanthopodium) is an aromatic Non-Timber Forest Product (NTFP) plant species that contains essential oils (EOs), which have various benefits for cuisine, medicine, and cosmetics. This study is essential because it is not yet known what biotic factors (basal area) and abiotic factors (soil and elevation) influence the EOs yield, geranyl acetate, and D-limonene as skin anti-aging. This study investigated whether the basal area, soil, and elevation factors influence the EOs yield, geranyl acetate, and D-limonene content of Andaliman fruit. The biotic and abiotic factors were measured from 9 sample plots representing the Andaliman habitats in North Sumatra, Indonesia. A vegetation analysis was conducted to derive the Andaliman basal area of each sample plot. Soil samples were taken randomly in each plot and analyzed for their physicochemical (pH, C, SOM, N, CNR, P, K, Ca, Mg, CEC, BS, SA, DU, CL, WC, and BD) contents. Elevation gradients were measured on each plot. The EOs of Andaliman fruit include yield, geranyl acetate, and D-limonene as skin anti-aging. The data were analyzed using Partial Least Square Regression for Generalized Linear Models (PlsRglm) to determine which biotic and abiotic factors influenced the EOs yield, geranyl acetate, and D-limonene. This study confirmed that clay soil texture was the main factor influencing EOs of Andaliman fruit yield, geranyl acetate, and D-limonene. Apart from soil factors, basal area, and elevation factors were also essential to consider when cultivating Andaliman fruit as a source of skin anti-aging substances. HIGHLIGHTS To the best of the authors’s knowledge, the first study in Indonesia 2024 that integrated biotic and abiotic factors affecting the essential oils (EOs) yield, geranyl acetate and D-limonene contents derived from of acanthopodium fruit as skin anti-aging substance. Using Partial Least Square Regression for Generalized Linear Models (PlsRglm) method for analyzing basal area, soil factors and elevation that influence the EOs of acanthopodium fruit. Of all the abiotic and biotic factors studied, Clay soil texture is the most critical factor that influences acanthopodium fruit EOs as skin anti-aging substances. Basal area and elevation are also essential factors in the cultivation of aromatic Andaliman plants. GRAPHICAL ABSTRACT

Evaluation of Immediate Release Tri-Layer Tablets for Analgesic and Antiulcer Properties in Experimental Animals.

Using animals as a test subject, we aimed to determine whether tri-layer tablets filled with ibuprofen and ranitidine had any effect on pain or ulcers. The effectiveness against ulcers caused by acetic acid and cold stress was tested. Six rats made up each of the four groups that were randomly assigned. As a control, I was given a solvent and placed in the group. The second group served as the control, while groups III and IV were used to evaluate 100 mg and 200 mg tri-layer tablets, respectively. The oral gavage method was used to administer all medications. It was shown that the number of writhing was 5.12 in the T2 group compared to the control group, indicating a decrease in the medication-treated groups. The heated technique demonstrated the substantial analgesic activity of the medication under examination. After 120 minutes, the drug-treated groups had a latency time that was 9.8 seconds longer than the control group. Treatment with the experimental medicine lowered the ulcer index in an ulcer model generated by acetic acid. T2 had a value that was 0.43 lower than the control group. T2 group showed a significant reduction in ulcer index to 0.33 in ulcers generated by cold restraint stress. This study provides support for the use of multilayered tablets in the treatment of pain and ulcer disorders, since it demonstrated the analgesic and antiulcer benefits of the test medicine in animal models. More studies to determine the exact mechanism are necessary.

Precision Medicine With Data-driven Approaches: A Framework For Clinical Translation

Precision medicine-based approaches differentiate themselves by taking into consideration subpopulation variability (e.g. genetic variations, age, gender, race, addictions). To date, traditional models, such as Trial-and-Error Dosing, Empirical Treatment Guidelines, Statistical and Actuarial Models, Pathophysiological Models, and Clinical Judgment and Experience, have been generalized in healthcare fields. However, more comprehensive and innovative technologies are required besides these conventional modelings, which are subject to various limitations such as low efficiency and incapability of processing complex biological systems. Here we review diverse machine learning (ML) algorithms integrated with big data and omics and its applications in various aspects of precision medicine. ML is the branch of artificial intelligence (AI), which has been rapidly developed and highlighted as a promising method to decrease diagnostic errors and aid clinicians with decision-making in recent decades. We focused on applications of ML models such as support vector machine (SVM), K Nearest Neighbor (KNN) random forest (RF), convolutional neural networks (CNNs) and deep learning in drug toxicity prediction, cardiovascular diseases, neurodegenerative diseases, and cancer therapies within precision medicine and specific benefits and challenges of each. This review provides insights on the wider utilization in clinical environments by recognizing current advantages that are expected to expand the scope of AI-driven methods and issues that need to be addressed for further studies.

Therapeutic Potential and Pharmacological Activities of Moscatilin in Medicine for the Treatment of Cancers and other Human Complication: A Review of the Active Components of Dendrobium Species

Background: Plant-derived byproducts have been used to treat numerous kinds of human complications in medicine since a very early age. Moscatilin is a bibenzyl compound found to be present in Dendrobium. Moscatilin, also called 4,4′-dihydroxyl-3,3′,5-trimethoxybibenzyl has potential benefits in medicine for the treatment of ovarian, lung, breast, esophageal, hepatic, colorectal, pancreatic and neck squamous cancer. Methods: The present work summarized the health-beneficial aspects of moscatilin for its effectiveness against numerous kinds of cancerous disorders in medicine. Pharmacological activities and analytical aspects of moscatilin have been analyzed in the present work through available scientific data on Google, Scopus, Science Direct, and PubMed. Results: Scientific data analysis of moscatilin signified their therapeutic effectiveness against ovarian cancer, lung cancer, breast cancer, esophageal cancer, hepatic cancer, colorectal cancer, pancreatic cancer, neck squamous cell cancer, apoptosis, and angiogenesis. Further, moscatilin has a significant effect on inflammation, Alzheimer's disease, diabetic neuropathy, and retinal ischemia. However, analytical data on moscatilin were also discussed in the present work in order to know the effective separation, isolation and identification of moscatilin. Conclusion: Scientific information on moscatilin presented in this work will be helpful to all scientific people to understand the biological importance and therapeutic potential of moscatilin in medicine.

Herbal Therapies for Cancer Treatment: A Review of Phytotherapeutic Efficacy.

Natural products have proven to be promising anti-cancer agents due to their diverse chemical structures and bioactivity. This review examines their central role in cancer treatment, focusing on their mechanisms of action and therapeutic benefits. Medicinal plants contain bioactive compounds, such as flavonoids, alkaloids, terpenoids and polyphenols, which exhibit various anticancer properties. These compounds induce apoptosis, inhibit cell proliferation and cell cycle progression, interfere with microtubule formation, act on topoisomerase targets, inhibit angiogenesis, modulate key signaling pathways, improve the tumor microenvironment, reverse drug resistance and activate immune cells. Herbal anti-cancer drugs offer therapeutic advantages, particularly selective toxicity against cancer cells, reducing the adverse side effects associated with conventional chemotherapy. Recent studies and clinical trials highlight the benefits of herbal medicines in alleviating side effects, improving tolerance to chemotherapy and the occurrence of synergistic effects with conventional treatments. For example, the herbal medicine SH003 was found to be safe and potentially effective in the treatment of solid cancers, while Fucoidan showed anti-inflammatory properties that are beneficial for patients with advanced cancer. The current research landscape on herbal anticancer agents is extensive. Numerous studies and clinical trials are investigating their efficacy, safety and mechanisms of action in various cancers such as lung, prostate, breast and hepatocellular carcinoma. Promising developments include the polypharmacological approach, combination therapies, immunomodulation and the improvement of quality of life. However, there are still challenges in the development and use of natural products as anti-cancer drugs, such as the need for further research into their mechanisms of action, possible drug interactions and optimal dosage. Standardizing herbal extracts, improving bioavailability and delivery, and overcoming regulatory and acceptance hurdles are critical issues that need to be addressed. Nonetheless, the promising anticancer effects and therapeutic benefits of natural products warrant further investigation and development. Multidisciplinary collaboration is essential to advance herbal cancer therapy and integrate these agents into mainstream cancer treatment.

Present Status Of Trace Elements And Heavy Metals In AyurvedicMedicines

The therapeutic benefits of Ayurvedic medicines are historically well known. Sometimes the concentration of trace and heavy metals can vary depending on their geographical sources, whichcan cause extremely harmful effects. Thus, one of the most important topics nowadays is the assessment of toxicity and safety of these Ayurvedic medicines. The presence of these constituents in the soil of the study area can be linked to the formation of toxicants of these harmful elements. They should be used with caution in the field as their uncontrolled ingestion can have harmful dangerous consequences on their consumers. Analysis by atomic absorption spectrometry allowedthe detection of trace and heavy metals. This paper discusses the current status of trace elements and heavy metals in Ayurvedic medicine. Along with this, the effects of trace elements and heavymetals on human health have also been explained. This research paper also contains about in whatway to determination of Trace element and heavy metal from ayurvedic medicines specially “Ras