Advanced Diagnostics Research Articles

Diagnostic advances in sepsis: A comparative analysis of syndromic approaches and molecular biology techniques in clinical bacteremia

Sepsis remains a leading cause of morbidity and mortality. This retrospective study, conducted at Avicenne Military Hospital in Marrakech over ten years, analyzed 3721 blood cultures, identifying 420 cases of bacteremia (11.3% positivity rate). The predominant isolates included Staphylococcus aureus, coagulase-negative staphylococci, Escherichia coli, Klebsiella spp., and Acinetobacter baumannii, with significant resistance patterns observed. Notably, 50% of S. aureus were methicillin-resistant (MRSA), while extended-spectrum beta-lactamase (ESBL) production was found in 30% of E. coli and Klebsiella pneumoniae isolates. The FilmArray multiplex PCR system was utilized to enhance rapid pathogen identification, reducing turnaround time from 72 hours to under 2 hours, and demonstrated high concordance with conventional cultures. The molecular diagnostics identified various resistant strains, including carbapenemase-producing organisms in K. pneumoniae and multidrug-resistant A. baumannii, underscoring the critical need for effective antimicrobial stewardship. Overall, this study emphasizes the evolving epidemiology of bacteremia, the rising antimicrobial resistance, and the utility of rapid molecular diagnostics in guiding timely and appropriate treatment, ultimately aiming to improve patient outcomes in sepsis management.

A Comprehensive Review of Pfu DNA Polymerase: Extraction, Production and Applications

Pfu DNA Polymerase, a thermostable enzyme derived from the hyperthermophilic archaeon Pyrococcus furiosus, is widely recognized for its high fidelity and strong processivity. Its 3'-5' exonuclease activity makes it indispensable for the correct amplification of both short and complex DNA strands. These biochemical properties of Pfu DNA Polymerase have encouraged considerable advancements in its extraction and production methods. This review covers some of the traditional approaches for purification, including protein purification and affinity chromatography, and updates on recent advances in recombinant gene expression, automated systems of production, and membrane-based technologies. New ways of engineering enzymes have recently been developed, such as CRISPR-Cas9-mediated gene optimization, which raised the bar on extraction efficiency to meet emerging demand. Once challenging, Pfu DNA Polymerase production has been significantly streamlined through recombinant expression in E. coli both at a laboratory and commercial scale. The optimization techniques that are involved with IPTG concentration and Response Surface Methodology have increased the yield by up to 30%. Auto-induction means even higher biomass outputs are allowed. Today, applications of Pfu DNA Polymerase span from standard PCR up to advanced clinical diagnostics in the fields of molecular biology, forensic analysis, clinical microbiology, and biotechnology.

Establishment of a Brain Tumor Consortium of Africa: Advancing Collaborative Research and Advocacy for Brain Tumors in Africa

Abstract Background Brain tumors represent a significant global health challenge, with rising incidence and mortality impacting individuals worldwide and contributing to cancer-related morbidity and mortality. In Africa, this burden is exacerbated by limited access to advanced diagnostics, treatment options, and multi-disciplinary care, compounded by the absence of standardized cancer registration and tumor biobanking. The introduction of molecular diagnostics, as outlined in the 2021 WHO CNS tumor classification, adds complexity to brain tumor management, particularly in regions with scarce resources. Methods To address these issues, the Brain Tumor Consortium for Africa (BTCA) was established in 2023, bringing together experts to improve CNS tumor diagnosis, patient care, and research. The initial project, conducted via an electronic questionnaire, aimed to assess neuro-oncology capacity across SSA. Results The study revealed significant gaps, with a limited number of institutions incorporating molecular subtyping into their diagnostic algorithms. The consortium’s efforts focus on enhancing local data use, informing public policy, and promoting collaboration to advance neuro-oncology practices in Africa. By fostering a network enlisting the expertise of collaborators in the field of neurosurgery, neurology, neuropathology, anatomic pathology, and medical and radiation oncology, the BTCA seeks to improve brain tumor management through better diagnostics, infrastructure and policy advocacy. Future directions include expanding molecular diagnostic capabilities, standardizing brain tumor biobanking, enhancing data collection, and advocating for improved brain tumor care in national health agendas. Conclusion The BTCA represents a pioneering model of collaboration and innovation in addressing the unique challenges of brain tumor care in Africa.

Illuminating Malaria: Spectroscopy’s Vital Role in Diagnosis and Research

Spectroscopic techniques have emerged as crucial tools in the field of malaria research, offering immense potential for improved diagnosis and enhanced understanding of the disease. This review article pays tribute to the pioneering contributions of Professor Henry Mantsch in the realm of clinical biospectroscopy, by comprehensively exploring the diverse applications of spectroscopic methods in malaria research. From the identification of reliable biomarkers to the development of innovative diagnostic approaches, spectroscopic techniques spanning the ultraviolet to far-infrared regions have played a pivotal role in advancing our knowledge of malaria. This review will highlight the multifaceted ways in which spectroscopy has contributed to the field, with a particular emphasis on its impact on diagnostic advancements and drug research. By leveraging the minimally invasive and highly accurate nature of spectroscopic techniques, researchers have made significant strides in improving the detection and monitoring of malaria parasites. These advancements hold the promise of enhancing patient outcomes and aiding in the global efforts towards the eradication of this devastating disease.

Quantitative MODS-Wayne assay for rapid detection of pyrazinamide resistance in Mycobacterium tuberculosis from sputum samples.

PZA susceptibility testing continues to be a challenge, particularly in countries with high TB incidence. In response to this pressing need, we have developed a quantitative MODS-Wayne (MODS-WQ) assay. This approach offers a direct and cost-effective solution representing a significant advancement in TB diagnostics, particularly benefiting resource-limited laboratories, primarily in developing regions. The MODS-WQ assay stands out for its ability to quantify pyrazinoic acid (POA) production, as a reliable indicator of PZA resistance. Unlike traditional qualitative assays, MODS-WQ eliminates the inherent subjectivity in interpretation, providing more accurate and actionable results. Moreover, the MODS-WQ approach accounts for critical factors influencing PZA resistance, including enzymatic efficiency and efflux pump activity. By integrating these factors into the detection process, our methodology offers a comprehensive understanding of PZA resistance levels, enabling tailored treatment strategies for patients.

A Comprehensive Review of Advanced Diagnostic Techniques for Endometriosis: New Approaches to Improving Women’s Well-Being

A Comprehensive Review of Advanced Diagnostic Techniques for Endometriosis: New Approaches to Improving Women’s Well-Being

Highly sensitive detection of MMP-2 using an electrochemiluminescent biosensor enhanced by ladder-branch hybridization chain reaction.

Anadvanced electrochemiluminescence (ECL) biosensor was developedthat integrates T7 RNA polymerase amplification, ladder-branch hybridization chain reaction (HCR), and the precise targeting capabilities of CRISPR/Cas13a technology. The novelty of this research lies in the unique combination of these three cutting-edge technologies, which has not been previously utilized together in biosensing platforms, enabling highly sensitive and specific detection of biomolecules with exceptional precision. This innovative biosensor addresses the critical need for sensitive and specific detection of matrix metalloproteinase-2 (MMP-2), a key biomarker in cancer diagnostics. Through meticulous optimization of amplification and reaction conditions, the biosensor demonstrated remarkable sensitivity and specificity, achieving a detection limit as low as 6.34 aM, surpassing existing methodologies. The biosensor also exhibited excellent stability and reproducibility across multiple scans and maintained consistent functionality over an extended period, highlighting its reliability for practical applications. The effectiveness of the biosensor was validated using real samples, demonstrating its capability to accurately quantify MMP-2 in complex biological matrices with high recovery and minimal interference. The integration of isothermal amplification and CRISPR/Cas13a within the ECL biosensor platform represents a significant advancement in molecular diagnostics, offering a powerful tool for real-time monitoring of MMP-2. This combination of technologies sets the platform apart from traditional methods, marking a significant step forward in biosensor innovation. This biosensor holds substantial promise for revolutionizing cancer diagnostics and facilitating personalized treatment strategies, ultimately aiming to improve patient outcomes in cancer care. Future research may explore further enhancements and applications of this biosensor in various clinical settings.

Single-point mutated lanmodulin as a high-performance MRI contrast agent for vascular and kidney imaging.

Magnetic resonance imaging contrast agents can enhance diagnostic precision but often face limitations such as short imaging windows, low tissue specificity, suboptimal contrast enhancement, or potential toxicity, which affect resolution and long-term monitoring. Here, we present a protein contrast agent based on lanmodulin, engineered with a single-point mutation at position 108 from N to D to yield maximum gadolinium binding sites. After loading with Gd3+ ions, the resulting protein complex, LanND-Gd, exhibits efficient renal clearance, high relaxivity, and prolonged renal retention compared to commercial agents. LanND-Gd enables high-performance visualization of whole-body structures and brain vasculature in male mice at a resolution finer than one hundred micrometers. In male ischemia mouse models, LanND-Gd also improves kidney dysfunction monitoring while minimizing risks of neural toxicity or immunogenic reactions. This protein-based contrast agent offers superior image quality, improved biocompatibility, and extended imaging timeframes, promising significant advancements in magnetic resonance-based diagnostics and patient outcomes.

HPB SO57 - Imaging in Acute Pancreatitis: Are We Getting It Right?

Abstract Background Guidelines indicate that routine use of imaging is unwarranted in patients with acute uncomplicated pancreatitis presenting with abdominal pain and increased serum amylase or lipase levels without signs of severe disease. Moreover, early CT scans may fail to accurately reflect disease severity and provide no diagnostic advantage. Method We performed a retrospective clinical audit at a district general hospital in the United Kingdom to find out the current practice regarding the use of imaging in patients presenting with acute pancreatitis. The patients were studied from January 2023 to March 2023 for the 1st cycle, and from April 2024 to May 2024 for the 2nd cycle. The list was identified by the clinical audit department – adult patients who presented to the A&E with symptoms of acute pancreatitis were included. Results Between January - March 2023, 44 patients presented to A&E with symptoms of acute pancreatitis. Of these, 25 (56%) had a CT-scan within 72-hours, with 80% showing evidence of acute pancreatitis —1 with pancreatic necrosis, 7 with intra-peritoneal fluid, & 5 with peri-pancreatic fat-stranding. The study revealed poor compliance with standards, prompting efforts to raise awareness. Findings were shared at the departmental audit meeting, & posters were displayed in A&E and GeneralSurgery departments. In the 2nd-cycle (April-May 2024), 32 patients presented, with 14 (53%) having a CT-scan within 72-hours & all had serum amylase levels checked, with 11 within normal limits. Conclusion This closed-loop clinical audit demonstrated that with appropriate measures and improved awareness of current guidelines, there can be increased compliance to the guidelines by the clinicians. This, in turn, reduces the risk of radiation exposure to patients and optimizes the use of CT scans.

Innovative Approaches for Sustainable Greenhouse Pest Management: Integrating Advanced Diagnostics and Preventive Strategies for Optimal Crop Health

Sustainable greenhouse pest management is critical for achieving good crop yields while reducing environmental impact. This paper investigates novel ways that incorporate improved diagnostic tools and preventive tactics into the framework of Integrated Pest Management (IPM) in greenhouse ecosystem. Understanding pest life cycles and utilizing cutting-edge tools such as DNA barcoding and enzyme-linked immunosorbent assays (ELISA) might help greenhouse managers achieve precise pest diagnosis and early responses. Preventive measures, such as tight cleanliness protocols, quarantine techniques, and the use of physical barriers, are critical in lowering pest incidence. Furthermore, biological controls, cultural methods such as crop rotation and intercropping, and the selective use of insecticides and biopesticides collectively help to ensure long-term pest management. This complete approach not only reduces insect damage but also creates a healthier, more resilient agricultural ecology. Furthermore, traditional diagnostic and preventive measures were also discussed in the article. The and recommendations are validated by recent studies and data, demonstrating the success of these integrated tactics in modern greenhouse operations.

Evaluation of Advanced Diagnostic Methods for Typhoid Fever in the Malwa Region, Punjab

Aim: The aim of study was to assess the effectiveness of conventional and advanced diagnostic techniques to overcome on false positive result of typhoid cases due to cross reactivity of different antibody present in human body. Method: Sampling was conducted in selected hospitals at both primary and secondary levels in the Malwa region. Blood and stool samples were collected from patients suspected for typhoid fever, and tests were performed at Bector Diagnostics Lab. The laboratory parameter like IgG and IgM Typhi Dot done form the blood and direct Stool culture at selective media recommended by CLSI guideline. A total of 450 patients were included in the study, out of which 150 patients taken as healthy controls and 300 were the patients showing symptoms of typhoid and had a fever for four days. Result: The results for “sensitivity and specificity” of all 3 diagnostic tests were as follows: 47.61% and 40.14% for Widal testing in hospitals, 100% and 96.90% for TyphiDot, and 79.16% and 99% for Stool culture. The Widal test showed interoperator variability and was insensitive. Overall, the IgM antibody-detection device TyphiDot showed the most encouraging and dependable results. Conclusion: This study demonstrated the importance of TyphiDot in the apparent treatment of typhoid fever. Its diagnosis is necessary for effective treatment or preventative measures. More diagnoses are required to ensure accuracy in typhoid fever cases.

Implications of molecular classifications in glioma surgery.

The incorporation of molecular markers into neuro-oncology has transformed our understanding of adult diffuse gliomas. While surgical resection is the mainstay of treatment for many patients with gliomas, surgical management strategies warrant re-exploration in the context of characteristic molecular profiles. We reviewed the neurosurgical and neuro-oncological literature for studies investigating surgery in molecularly defined cohorts of adult diffuse gliomas. We discuss key molecular markers associated with the three subtypes of adult diffuse glioma: glioblastoma IDH-wildtype, astrocytoma IDH-mutant, and oligodendroglioma IDH-mutant and 1p/19q codeleted. We additionally discuss surgical strategies and extent of resection in these tumors, framing them in the context of key molecular alterations. Finally, we briefly discuss the practical utility of molecular markers in guiding surgical decision making. Molecular markers in gliomas are of growing relevance to surgical intervention. Advancements in preoperative and intraoperative molecular diagnostics will increase the utility of molecular biomarkers in informing surgical decision-making for patients with gliomas.

HoloLume: Point-of-Application Holographic Imaging Solution

Abstract Digital holographic imaging has emerged as a label-free, non-invasive, and powerful tool, offering a transformative method for the real-time investigation of morphology, density, and other physical and mechanical features of biological and non-biological samples. The rapid development of these portable, economical imaging systems for clinical/non-clinical setups, especially in remote areas, is of great interest. These systems are early point-of-care applications in diagnosis, research, education, and training. This article reports a general-purpose, fully automated portable imaging tool, "HoloLume," that offers high-resolution 3D imaging that facilitates the comprehensive understanding and analysis of different biological/non-biological samples. The proposed microscopic system HoloLume realizes the interferogram generation of samples using common-path optics configuration with Fresnel biprism, and its motorized stage precisely scans the whole sample with a step of 3.87 μm for quick identification of the region of interest, which makes sure a time-efficient and robust analysis. The prototype, assembled from off-the-shelf components, costs approximately USD 1700 and weighs around 3 kg. To validate and verify the performance of the HoloLume microscope, we have conducted experiments on both non-biological and biological samples. Thus, its non-invasive nature, high temporal stability, and economical lightweight prototyping make it an ideal choice for hands-on learning and quantitative analysis, reducing the need for time-consuming sample preparation and conventionally expensive microscopic systems. Furthermore, the adaptability of the proposed imaging tool to remote environments ensures wider accessibility and its easy integration with other imaging modalities enables the user to gain insight into advanced research and diagnostics.

An experimental study on the diagnostic advantage of dual-energy computed tomography over single-energy scan to evaluate the treatment effect following transcatheter arterial chemoembolization.

We assessed the diagnostic advantage of dual-energy computed tomography (DECT) over single-energy computed tomography (SECT) to evaluate lipiodol accumulation in target lesions following transcatheter arterial chemoembolization (TACE). TACE was performed in 10 rabbits in whom the VX2 tumor was implanted in their left liver lobes. The miriplatin-lipiodol mixture was injected into the common hepatic artery. All rabbits were sacrificed 2 days after TACE, and the liver was harvested. CT was performed using both single-energy and dual-energy scan modes. The specimen was stained with Oil Red O to evaluate lipiodol accumulation; this was considered the reference standard. Mutual information (MI) was used to evaluate the significance of radiological-pathological correlation. Estimated iodine content values on iodine material density images were compared with actual values obtained using mass spectroscopy. Mean MI values were 0.69, 0.32, 0.83, 0.72, 0.65, and 0.58 for single-energy scan; iodine density images; and virtual monoenergetic images for energy levels of 40, 60, 80, and 100 keV, respectively. The MI value of the monochromatic image (40 keV) was the highest among all sequences. However, this was not significant compared with the single-energy scan (p = 0.81). A significant correlation was observed between the estimated and actual values of iodine content (Pearson's product moment coefficient = 0.70, p = 0.023). More accurate and quantitative lipiodol evaluation in targeted tumors after TACE can be achieved by applying DECT rather than SECT.

INTEGRATIVE ONCOLOGY AS A PROMISING VECTOR FOR THE TREATMENT OF CANCER TREATMENT

The article presents an analysis of the possibilities for early diagnosis, treatment, and rehabilitation of patients with cancer within the framework of integrative oncology. Introduction. Oncological diseases remain one of the most pressing medical challenges of our time, driven by a steady increase in incidence, late-stage diagnoses, and unsatisfactory treatment outcomes. WHO experts predict that by 2050, the number of new cancer cases will rise by 77% compared to 2022. Despite significant advancements in diagnostics and conventional treatments, including surgery, chemotherapy, and radiotherapy, there remains a need for a more holistic approach. This approach would not only target tumor control but also aim to enhance the overall quality of life for patients. Discussion. Timely and accurate diagnosis is a crucial aspect of the fight against cancer. Early detection can significantly improve the chances of successful treatment and patient survival. However, conventional cancer treatments are often aggressive, leading to complications, side effects, and patient disability. Integrative oncology combines traditional therapies with complementary approaches, focusing on maintaining overall patient health, reducing side effects, facilitating restorative rehabilitation, and enhancing quality of life. This comprehensive, integrative approach broadens and strengthens the options for cancer treatment, offering a more holistic care strategy. Conclusion. Integrative oncology represents a promising direction in cancer treatment by providing a comprehensive approach to addressing the disease. The combination of conventional treatments with complementary therapies not only enhances treatment effectiveness but also significantly improves patient quality of life, an essential aspect in the ongoing battle against cancer.

EPID-01. PEDIATRIC BRAIN TUMORS IN SUB-SAHARAN AFRICA:A SYSTEMATIC REVIEW AND META-ANALYSIS

Abstract OBJECTIVE brain tumors are a global problem, leading to higher cancer-related morbidity and mortality rates in children. Despite the progressive though slow advances in neuro-oncology care, research, and diagnostics in sub-Saharan Africa (SSA), the epidemiological landscape of pediatric brain tumors (PBTs) remains underestimated. This study aimed to systematically analyze the distribution of PBT types in SSA. METHODS major databases and grey literature were searched for literature on PBTs in SSA published before October 29, 2022. A proportional meta-analysis was performed. RESULTS forty-nine studies, involving 2360 children, met the inclusion criteria for review; only 20 (40.82%) were included in the quantitative analysis. South Africa and Nigeria were the countries with the most abundant data. Glioma not otherwise specified (NOS) was the common PBT in the 4 SSA regions combined. However, medulloblastoma was more commonly reported in Southern-SSA(p=0.01) than in other regions. The prevalence and the overall pooled proportion of the 3 common PBTs was estimated at 46.27% and 0.41 (95%CI 0.32–0.50, 95% prediction interval [PI] 0.11–0.79), 25.34% and 0.18 (95%CI 0.14–0.21, 95%PI 0.06–0.40), and 12.67% and 0.12 (95%CI 0.09–0.15, 95%PI 0.04–0.29) for glioma-NOS, medulloblastoma, and craniopharyngioma, respectively. Sample size moderated the estimated proportion of glioma-NOS (p = 0.02). The highest proportion of craniopharyngiomas was in Western-SSA, and medulloblastoma and glioma-NOS in Central-SSA. CONCLUSION these findings provide insight into the trends of PBT types and the proportion of the top 3 most common tumors across SSA. Although statistical conclusions are difficult due to the inconsistency in the data. We identify critical areas for policy development and collaborations that can facilitate improved outcomes in PBTs in SSA. More accurate epidemiological studies are needed to better understand the burden of the disease and the geographic variation in their distribution, and to raise awareness in their subsequent management.

SURG-23. ESTABLISHMENT OF AN APPROPRIATE GLIOMA SURGERY SYSTEM CONSIDERING MOLECULAR AND FUNCTIONAL BOUNDARIES

Abstract Gliomas are invasive tumors and cannot be cured by surgery. But surgical removal has also been proven to affect treatment outcomes. Recent advances in molecular diagnostics have identified IDH mutations, especially in lower grade gliomas, allowing the identification of so-called molecular boundaries. It is conceivable that expanded resection to the molecular border may improve treatment outcome. On the other hand, extended resection may be incompatible with functional preservation. In such cases, it is also important to consider that the impact of surgery on treatment outcome has also been proven to vary by glioma genotype. While total resection has a significant prognostic impact on survival in astrocytomas with IDH mutations, the impact on survival in oligodendrogliomas that are sensitive to chemoradiotherapy and, conversely, in high-grade tumors without IDH mutations is lower than in the former. Therefore, it is important to determine the extent of removal after considering the tumor type. In general, various surgical support devices such as surgical navigation systems, fluorescent diagnosis using 5ALA, intraoperative electrophysiological monitoring, awake functional brain mapping, and intraoperative MRI are applied during glioma surgery. In addition to these, we have developed a surgical system that also focuses on tumor subtypes by introducing preoperative tumor type prediction using AI imaging and intraoperative rapid genetic diagnosis. We have further developed intraoperative rapid genetic diagnosis to identify genetic mutations around the tumor, enabling the detection of molecular boundaries. It is now possible to remove as much as possible, considering the molecular boundary, while paying sufficient attention to preservation of brain functions. Gliomas are intractable diseases, but their treatment outcomes have steadily improved over time. We are now in an era of a tailor-made surgery based on a variety of data. Implementing “appropriate surgical procedures” we aim at further improvement of treatment outcomes.

Comprehensive Management of Cholesteatoma in Otitis Media: Diagnostic Challenges, Imaging Advances, and Surgical Outcome

Background: This study presents a comprehensive analysis of cholesteatoma of the middle ear, focusing on its clinical presentation, diagnostic imaging, and treatment outcomes. Cholesteatomas are defined by the keratinized squamous epithelium within the middle ear, leading to significant bone erosion, often affecting the ossicular chain and surrounding structures. Methods: The study explores various mechanisms involved in cholesteatoma progression, including enzymatic lysis, inflammatory responses, and neurotrophic disturbances. The study conducted a retrospective clinical and statistical review of 580 patients over a 20-year period (2003–2023), highlighting the role of advanced imaging, including computed tomography (CT) and diffusion-weighted magnetic resonance imaging (DWI), in preoperative planning and postoperative follow-up. Results: Findings revealed that early detection and intervention are crucial in preventing severe complications such as intracranial infection and hearing loss. Surgical treatment primarily involved tympanoplasty and mastoidectomy, with a recurrence rate of 1.55% within two years. The study underscores the importance of integrating imaging advancements into clinical decision-making to enhance patient outcomes and suggests further investigation into molecular mechanisms underlying cholesteatoma progression and recurrence. Histopathological and microbiological analysis was performed to identify pathological patterns and microbial agents. Conclusions: The study highlights the importance of early diagnosis and intervention to prevent complications such as intracranial infections and permanent hearing loss, while also emphasizing the role of advanced imaging techniques in the management and long-term monitoring of cholesteatoma patients.

Postnatal depressive symptoms in mothers of infants at high risk of cerebral palsy: the role of delayed infant communicative development

Purpose Recent diagnostic advantages enable detection of cerebral palsy (CP) in infants before five months of age. Parents of children with CP often face mental health problems, but specific knowledge for infancy is needed. In this study, depressive symptoms in mothers of 16-week-old infants and associations with infant development were investigated. Materials and methods This cross-sectional study involves 56 families, 22 high-risk and 34 infants without risk of CP. High-risk-CP was identified following international clinical guidelines. We assessed infant cognitive and language development using the Bayley-III and motor development using the Alberta Infant Motor Scale. Maternal depressive symptoms were self-reported using the Edinburgh Postnatal Depression Scale. Results Mothers of CP high-risk infants were 15.6 times more likely to experience risk of postnatal depression compared to mothers of infants without risk. Additionally, linear regression analyses showed that having an infant at high-risk of CP (β = .359, p = .006) and delayed language development (β = −0.510, p < .001) were associated with increased maternal depressive symptoms. Conclusions We recommend systematic screening of postnatal depressive symptoms following detection of high-risk-CP in infants. Early interventions could include a mother-infant interactional component to support caregivers in interpreting and responding to infant communicative cues.

Applications of integrating artificial intelligence and big data: A comprehensive analysis

Abstract The integration of artificial intelligence (AI) and big data technologies has the potential to revolutionize various industries, yet there are complexities and challenges associated with their implementation. This comprehensive study aims to investigate the combined impact of AI and big data on operational efficiency, precision, and security across multiple sectors. By utilizing a methodological analysis of 105 peer-reviewed articles sourced from reputable databases, we systematically explore the diverse applications, key innovations, and transformative potential of these technologies. Our findings uncover significant advancements in healthcare diagnostics, drug discovery, personalized education, and smart farming, highlighting how AI enhances big data analytics to drive notable improvements. Specifically, the study reveals the accuracy of AI in healthcare diagnostics, the efficiency of big data in drug discovery, the personalization of learning experiences through AI in education, and the sustainability advancements in agriculture through smart farming. These results underscore a substantial shift toward more sophisticated data-driven decision-making and operational processes facilitated by the integration of AI and big data. This shift addresses the initial research problem and makes a significant contribution to both academic and practical understanding of the role these technologies play in shaping the future of industry operations. The study concludes that while AI and big data integration offers substantial benefits, addressing associated challenges is crucial for maximizing their impact.