States Population Research Articles

Geographic Patterns of Ocular Oncologist Supply and Patient Demand for Uveal Melanoma Treatment in the United States: A Supply and Demand Analysis.

To study geographic patterns of supply and demand for uveal melanoma and other ocular oncology healthcare by ocular oncology physicians in the United States. Google search interest data was obtained through trends.google.com. The combined-state density of ocular oncology physicians was calculated by dividing the number of practicing ocular oncologists in each state and its surrounding states by the state population. Relative search volume (RSV) values were divided by ocular oncology physician density to calculate the Google relative demand index (gRDI) for each state.Medicare (mRDI) and IRIS® Registry (iRDI) relative demand indices were calculated using prevalence data obtained through the Vision and Eye Health Surveillance System (VEHSS). Data from the US Census Bureau and Centers for Disease Control (CDC) databases were also utilized to analyze associations with poverty rates, percent living in urban or rural areas, vision screening rates, and ocular neoplasm rates. Alabama showed the highest RSV (100), while the lowest was reported in New Mexico (20). Vermont had the highest density of combined-state ocular oncology ophthalmologists (1.85 per 100,000 residents). New Mexico had the lowest RDI (0.013 gRDI, 0.015 mRDI, 0.018 iRDI) with 32 combined-state ocular oncologists and a population of 2,114,371. Ocular neoplasm prevalence rates ranged between 1.32% and 5.40% and significantly correlated with RSV. Single-state gRDI correlated with rural status and negatively correlated with urban areas (≥50,000 individuals). Single-state ophthalmologist density correlated positively with percent living in urban areas and vision screening rates, and negatively with rural status. This study uncovered significant heterogeneity in the geographical distribution of ocular oncology physicians and RDI throughout the United States, highlighting potential undersupply scenarios. This may guide efforts to increase ocular oncology physician and surgeon availability in areas of need.

All-cause mortality due to conduction abnormalities in the United States: Sex, racial, and geographic variations from 1999 to 2022

BackgroundMortality related to conduction abnormalities in the United States (US) population is not well documented. Population-based stratification approaches can improve public health policies and targeted strategies. ObjectiveThe purpose of this study was to evaluate all-cause mortality related to conduction abnormalities in the US population MethodsThe Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database was used to calculate the age-adjusted mortality rate (AAMR) per 100,000 individuals older than 35 years related to conduction abnormalities between 1999 and 2022. ResultsA total of 207,861 deaths were attributed to conduction abnormalities throughout the study period ,with 56,186 of these deaths occurring between 2020 and 2022. All-cause mortality related to conduction abnormalities has increased during the past decade with an exponential growth in 2020–2021 (coronavirus disease 2019 era; annual percent change of 16.6% per year). Although the mortality rates decreased in 2022, they remained elevated compared to 2019–2020. Throughout the past 2 decades, males consistently exhibited higher mortality rates than females, with the rate in 2022 being 1.5 times higher (AAMR 11.4 vs 7.0 per 100,000). Non-Hispanic Black patients experienced a significantly higher mortality rate compared to non-Hispanic White individuals in the study period (AAMR 13.7 vs 8.6 per 100,000 in 2022). In the past 2 decades, mortality has been persistently higher in rural and small- to medium-sized metropolitan areas than in large metropolitan urban areas. ConclusionMortality rates related to conduction abnormalities have increased over the past decade, and persistent disparities have been observed. These data suggest that continued innovative outreach approaches and engagement with underrepresented populations remain essential.

Preliminary Validation of Hearing Device-Related Stigma Measures in Four United States Populations.

Although hearing devices such as cochlear implants and hearing aids often improve communication, many people who are d/Deaf or hard of hearing (d/DHH) choose not to use them. Hearing device-related stigma, or negative societal beliefs about people who use hearing devices, often drives this decision. Although much research has documented the negative effects of hearing device-related stigma, no widely accepted, validated measure to quantify such stigma across populations currently exists. In this article, we describe the preliminary validation of four distinct but related scales measuring hearing device-related stigma in different populations, including people who use hearing devices and those close to them. We preliminarily validated four measures for quantifying hearing device-related stigma in different populations that were previously developed and refined through a literature review, Delphi interviews, cognitive interviews, and a pretest. We preliminarily validated these measures through self-administered online surveys in a convenience sample in the United States. Among participants who use a hearing device and who either (a) self-identified as being d/DHH before they developed language (lifelong; n = 78) or (b) those who self-identified as having acquired a d/DHH identity after they developed language (acquired n = 71), we validated an anticipated hearing device-related stigma scale (d/DHHS-LE-HDA). We validated three scales that measure perceived hearing device-related stigma observed by parents of children who are d/DHH and who use a hearing device (n = 79) (d/DHHS-P-HDPO), care partners of adults who are d/DHH and use a hearing device (n = 108) (d/DHHS-CP-HDPO), and health care providers (n = 203) (d/DHHS-HCP-HDSH). Exploratory factor analysis assessed the reliability of each measure. Each of the four scales loaded onto one factor. Factor loadings for the eight-item scale measuring anticipated hearing device-related stigma among the two populations with lived experience ranged from 0.635 to 0.910, with an ordinal α of 0.93 in the lifelong d/DHH participants and 0.94 among the acquired d/DHH participants. The six-item scale of perceived stigma observed by parents had item loadings from 0.630 to 0.920 (α = 0.91). The nine-item scale of hearing device-related stigma observed by care partners had item loadings from 0.554 to 0.922 (α = 0.95). The eight-item scale of hearing device-related stigma reported by health care providers had item loadings from 0.647 to 0.941 (α = 0.89). Preliminary validation results show that the four stigma measures perform well in their respective populations. The anticipated stigma scale performed similarly well for both lifelong d/DHH and acquired d/DHH, which suggests that it could perform well in different contexts. Future research should further validate the scales described here as well as measure hearing device-related stigma in different populations-including people who live in different geographic regions and people using different kinds of hearing devices-and evaluate the success of interventions developed to reduce hearing device-related stigma.

The Geographic Distribution of Vascular Surgeons and Trainees by State in 2023

Approximately 1.4 vascular surgeons/100,000 persons are estimated to fulfill current patient needs in the United States (US), but an ongoing shortage exists. The aims of this study are to provide an updated nationwide state-by-state workforce analysis and compare the distribution of practicing vascular surgeons and training opportunities. Vascular surgeons in the US were identified using the National Provider Identifier registry in 2023. Only board-certified and actively licensed vascular surgeons were included. To estimate the number of vascular surgery graduates per year in each state, integrated residency and fellowship-matched positions (trainees) were ascertained from the National Resident Matching Program website. Surgeons and trainees were totaled by state, and densities were calculated using the 2020 US Census Bureau state populations. These two cohorts were also examined together using simple linear regression and geographic mapping. This study included 3399 board-certified vascular surgeons and 228 newly matched trainees. The average densities of vascular surgeons and trainees in the US are 1/100,000 persons and 0.06/100,000 persons, respectively. The five states with the lowest densities of vascular surgeons are AR, ND, NV, OK, and WY, averaging 0.4/100,000 persons. Eight states (AK, ID, KS, ND, NM, NV, RI, WY) had zero training programs offering positions in 2023 and ranked in the lowest quartile for the number of practicing vascular surgeons (Figure 1). Simple linear regression demonstrated a statistically significant correlation between state rates of vascular surgeons and trainees (p < 0.001). States with zero training positions also have the fewest vascular surgeons per capita. Statewide attention to expanding vascular surgery training opportunities targeted in these areas could positively impact the current maldistribution and shortage of vascular surgeons.

On Dunkl-Bose-Einstein Condensation in Harmonic Traps

The use of the Dunkl derivative, defined by a combination of the difference-differential and reflection operators, allows the classification of the solutions according to even and odd solutions. Recently, we considered the Dunkl formalism to investigate the Bose-Einstein condensation of an ideal Bose gas confined in a gravitational field. In this work, we address another essential problem and examine an ideal Bose gas trapped by a three-dimensional harmonic oscillator within the Dunkl formalism. To this end, we derive an analytic expression for the critical temperature of the N particle system, discuss its value at large-N limit andfinally derive and compare the ground state population with the usual case result. In addition, we explore two thermal quantities, namely the Dunkl-internal energy and the Dunkl-heat capacity functions.

52571 A Report of 476 Juvenile Dermatomyositis Hospitalizations: A National United State Population Based Study

52571 A Report of 476 Juvenile Dermatomyositis Hospitalizations: A National United State Population Based Study

Telomerase RNA structural heterogeneity in living human cells detected by DMS-MaPseq.

Telomerase is a specialized reverse transcriptase that uses an intrinsic RNA subunit as the template for telomeric DNA synthesis. Biogenesis of human telomerase requires its RNA subunit (hTR) to fold into a multi-domain architecture that includes the template-containing pseudoknot (t/PK) and the three-way junction (CR4/5). These two hTR domains bind the telomerase reverse transcriptase (hTERT) protein and are thus essential for telomerase catalytic activity. Here, we probe the structure of hTR in living cells using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and ensemble deconvolution analysis. Unexpectedly, approximately 15% of the steady state population of hTR has a CR4/5 conformation lacking features thought to be required for hTERT binding. The proportion of hTR CR4/5 that is folded into the primary functional conformation does not require hTERT expression and the fraction of hTR that assumes a misfolded CR4/5 domain is not refolded by overexpression of its hTERT binding partner. This result suggests a functional role for an RNA folding cofactor other than hTERT during telomerase biogenesis. Mutagenesis demonstrates that stabilization of the alternative CR4/5 conformation is detrimental to telomerase assembly and activity. Moreover, the alternative CR4/5 conformation is not found in telomerase RNP complexes purified from cells via an epitope tag on hTERT, supporting the hypothesis that only the major CR4/5 conformer is active. We propose that this misfolded portion of the cellular hTR pool is either slowly refolded or degraded. Thus, kinetic traps for RNA folding that have been so well-studied in vitro may also present barriers for assembly of ribonucleoprotein complexes in vivo.

Near-complete chiral selection in rotational quantum states

Controlling the internal quantum states of chiral molecules for a selected enantiomer has a wide range of fundamental applications from collision and reaction studies, quantum information to precision spectroscopy. Achieving full enantiomer-specific state transfer is a key requirement for such applications. Using tailored microwave fields, a chosen rotational state can be enriched for a selected enantiomer, even starting from a racemic mixture. This enables rapid switching between samples of different enantiomers in a given state, holding great promise, for instance, for measuring parity violation in chiral molecules. Although perfect state-specific enantiomeric enrichment is theoretically feasible, achieving the required experimental conditions seemed unrealistic. Here, we realize near-ideal conditions, overcoming both the limitations of thermal population and spatial degeneracy in rotational states. We achieve over 92% enantiomer-specific state transfer efficiency using enantiopure samples. This indicates that 96% state-specific enantiomeric purity can be obtained from a racemic mixture, in an approach that is universally applicable to all chiral molecules of C1 symmetry. Our work integrates the control over internal quantum states with molecular chirality, thus expanding the field of state-selective molecular beams studies to include chiral research.

The effects of SNAP emergency allotments on state-level SNAP benefits and enrollment during the COVID-19 pandemic.

During the COVID-19 pandemic, all US states provided emergency allotments (EA) to enrollees of the Supplemental Nutrition Assistance Program (SNAP) to alleviate rising food insecurity. However, 18 states opted out of the SNAP-EA program before its official expiration in February 2023. Using a staggered difference-in-differences model to account for state-level variation in the timing of the SNAP-EA opt-out decisions, we analyzed SNAP and SNAP-EA data from the US Department of Agriculture Food and Nutrition Service to quantify the impact of state opt-out decisions on SNAP benefit size and enrollment. We found that the average SNAP monthly benefit among 18 SNAP opt-out states was reduced by $183 (95% confidence interval [CI]: -$214, -$152) per beneficiary. The percentage of the state population enrolled in the SNAP program among the opt-out states modestly decreased by 0.35 (95% CI: -0.61, -0.10) percentage points. Additionally, we employed logistic regression models to associate state opt-out decisions with state-level characteristics. We found that the state governor's political party being Republican was the only significant predictor for the state's opt-out decisions. Our findings help explain why opting out of SNAP-EA has been associated with higher food insufficiency and shed light on the impact of political decisions to opt out of SNAP-EA on the lives of millions of Americans.

The Review of Income Equality: Definitions, Causes and Consequences

The wealthiest 20% of the United States population make up over 20% of the country's income, while the bottom 20% constitute up less than 20%. Income inequality may lead to many severe questions like peoples health and violence. Should income inequality be of concern to countries? Does the impact of wage disparity vary by country? The paper surveys the determinants of income inequality and synthesizes a vast body of literature on the factors that can influence the inequality of income. The whole passage categories determinants into (1)definition, (2)cause, and (3)consequences. The paper highlights the importance of income inequality and focuses on its effects on different aspects. After discussing various dimensions of the picture, we conclude that income inequality can be severe in some countries, thus affecting the operation of the economy, while there are some solutions to mitigate the harm it causes.

Stationary distribution and mean extinction time in a generalist prey–predator model driven by Lévy noises

In this study, a delayed generalist prey–predator model incorporating the logistic-like growth and Holling type-III functional response for predator subjected to two Lévy noises is established. Such environmental fluctuations can describe abrupt change in population density. First, we conduct stability analysis and determine the critical value of time delay when Hopf bifurcation takes place. Then, the existence of the global positive solution and stability in distribution of stochastic model are studied. Numerical results are given to illustrate the analytical findings, and mainly dedicated to the consequences of time delay and Lévy noises on the stationary distribution, mean extinction time and reproduction rate of prey–predator populations, via stationary probability distribution function (PDF), mean first passage time (MFPT) and relaxation time, respectively. Our findings indicate that the decreases in time delay, noise intensities (Di,i=1,2), and stability indexes within the range of αi∈[1,2] are more likely to maintain the population in a high density state. Phase transition occurs when the system is in the suitable parameter regime. Additionally, there exist optimal noise intensities that slow down switching of prey species from a stable state to an extinction state. Smaller time delay τ and stability indexes αi inhibit population extinction, whereas smaller skewness parameter β speed up prey extinction. More importantly, two noises can tune the enhanced stability characteristic of the system.

Urinary biomarkers of environmental exposures and asthma morbidity in a school inner city asthma study

BackgroundThe burden of pediatric asthma and other allergic diseases is not evenly distributed among United States populations. ObjectiveTo determine whether urinary biomarkers are associated with asthma morbidity, and if associations vary by child race, ethnicity and sex. MethodsThis study includes n = 152 children with physician-diagnosed asthma who participated in the School Inner-City Asthma Intervention Study (SICAS-2). Metabolites of phenol, paraben, polycyclic aromatic hydrocarbons, and phthalate analytes were analyzed from urine samples collected at baseline. Asthma symptom days over the past 2 weeks were dichotomized to no asthma symptom days or any asthma symptom days. Cross-sectional regression models were adjusted for age, sex, number of colds, household income, prescription control, race and ethnicity, body mass index (BMI) percentile, and smoke exposure. Weighted quantile sum regression was used to analyze each chemical class and a total mixture effect, controlling for the same covariates. Analyses were conducted with the assistance of the National Institute of Environmental Health Sciences Children's Health Exposure Analysis Resource (CHEAR). ResultsParticipants were mostly Hispanic/Latino and low income with an average age of 7.83 years and the average maximum asthma symptom days over the past two weeks of 2.13 (standard deviation: 3.56). The maximum concentrations indicate extreme values for several chemicals, including bisphenol-3, 2,5-dichlorophenol, propyl and methyl parabens, triclosan, methyl paraben and cotinine. We found a significant interaction effect and differing contributions of analytes for children with allergen sensitivity versus those that did not. For stratified analyses assessing effect modification by child race and ethnicity, weighted quantile sum interaction models showed reduced odds of asthma symptoms to a greater magnitude in children of other races and ethnicities compared to Black, Non-Hispanic children. ConclusionsPreliminary analyses of the association between environmental chemical exposure and asthma symptoms among inner-city children revealed an inverse association, which may be due to personal care and medication use and can be understood further in future analyses. Beneficial effects were detected for most of the chemicals.

Unveiling the Mechanism of Plasmon Photocatalysis via Multiquantum Vibrational Excitation.

Plasmon photocatalysis reactions are thought to occur through vibrationally activated reactants, driven by nonthermal energy transfer from plasmon-induced hot carriers. However, a detailed quantum-state-level understanding and quantification of the activation have been lacking. Using anti-Stokes surface-enhanced Raman scattering (SERS) spectroscopy, we mapped the vibrational population distributions of reactants on plasmon-excited nanostructures. Our results reveal a highly nonthermal distribution with an anomalously enhanced population of multiquantum excited states (v ≥ 2). The shape of the distribution and its dependence on local field intensity and excitation wavelength cannot be explained by photothermal heating or vibronic optical transitions of the metal-molecule complex. Instead, it can be modeled by hot electron-molecule energy transfer mediated by the transient negative ions, establishing direct links among nonthermal reactant activation, plasmon-induced hot electrons, and negative ion resonances. Moreover, the presence of multiquantum excited reactants, which are far more reactive than those in the ground state or first excited state, presents opportunities for vibrationally controlling chemical selectivities.

Mapping review of register-based cohort studies of bipolar disorder.

Register-based cohorts allow us to better understand bipolar disorder over a life course. They are inclusive and their long-term data collection provides a longer scope than most clinical trials. This mapping review provides an overview of register-based cohort studies of bipolar disorder to inform researchers of the strengths and limitations to this body of research and identify gaps for future research. A systematic search was performed of Medline, EMBASE, and PsycINFO databases. Cohort studies were included if they focused on bipolar disorder and had a minimum of 1 year of longitudinal data. Studies needed to be from databases that monitor the whole state or national population. A descriptive analysis of the studies' populations and methodology provides an overview of this field of study and identifies evidence gaps. A hundred and forty-six studies were included. The majority were from databases in Taiwan (n = 63), Denmark (n = 38), Sweden (n = 23), and Finland (n = 11). Forty-eight studies focused on aetiological questions. Sixty prognostic studies identified cohorts with bipolar disorder and described the impact of the illness by considering comorbidity, prescribing patterns, social functioning, and mortality. Thirty-six treatment studies focused on the efficacy and adverse effects of pharmaceuticals and ECT. No studies focused on psychological treatments. Bipolar disorder research should include register-based cohorts with greater geopolitical and cultural diversity. Custodians of health registers should consider how non-pharmaceutical interventions such as psychotherapy are captured. Register-based cohorts investigating treatments of bipolar disorder should consider long-term social outcomes alongside the usual clinical outcomes.

Comparative Evaluation of Three Screening Methods (Conventional, Molecular and Immunological) in the Diagnosis of Overt and Latent TB Infection in Mixed Population in Cross River State, Nigeria

Comparative Evaluation of Three Screening Methods (Conventional, Molecular and Immunological) in the Diagnosis of Overt and Latent TB Infection in Mixed Population in Cross River State, Nigeria

Deciphering the spatial organization of fibrotic microenvironment in silica particles-induced pulmonary fibrosis

Silicosis represents a form of interstitial lung disease induced by the inhalation of silica particles in production environments. A key pathological characteristic of silica-induced pulmonary fibrosis is its localized tissue heterogeneity, which presents significant challenges in analyzing transcriptomic data due to the loss of important spatial context. To address this, we integrate spatial gene expression data with single-cell analyses and achieve a detailed mapping of cell types within and surrounding fibrotic regions, revealing significant shifts in cell populations in normal and diseased states. Additionally, we explore cell interactions within fibrotic zones using ligand-receptor mapping, deepening our understanding of cellular dynamics in these areas. We identify a subset of fibroblasts, termed Inmt fibroblasts, that play a suppressive role in the fibrotic microenvironment. Validating our findings through a comprehensive suite of bioinformatics, histological, and cell culture studies highlights the role of monocyte-derived macrophages in shifting Inmt fibroblast populations into profibrotic Grem1 fibroblast, potentially disrupting lung homeostasis in response to external challenges. Hence, the spatially detailed deconvolution offered by our research markedly advances the comprehension of cell dynamics and environmental interactions pivotal in the development of pulmonary fibrosis.

Quantum state engineering in a five-state chainwise system by generalized coincident pulse technique.

In this paper, an exact analytical solution is presented for achieving coherent population transfer and creating arbitrary coherent superposition states in a five-state chainwise system by a train of coincident pulses. We show that the solution of a five-state chainwise system can be reduced to an equivalent three-state Λ-type one with the simplest resonant coupling under the assumption of adiabatic elimination together with a requirement of the relation among the four coincident pulses. In this method, the four coincident pulses at each step all have the same time dependence, but with specific magnitudes. The results show that, by using a train of appropriately coincident pulses, this technique not only enables complete population transfer, but also creates any desired coherent superposition between the initial and final states, while the population in all intermediate states is effectively suppressed. Furthermore, this technique can also exhibit a one-way population transfer behavior. The results are of potential interest in applications where high-fidelity multi-state quantum control is essential, e.g., quantum information, atom optics, formation of ultracold molecules, cavity QED, nuclear coherent population transfer, and light transfer in waveguide arrays.

The association between dental caries and serum crp in the us adult population: evidence from NHANES 2015–2018

BackgroundDental caries remains one of the most prevalent diseases worldwide, affecting 29.4% of the global population. Despite numerous efforts to diagnose, predict, and prevent dental caries, the incidence continues to rise. Salivary biomarkers provide a non-invasive means for early detection of various oral conditions. C-reactive protein (CRP) is a key marker, elevated in both oral and general inflammatory conditions such as diabetes, periodontitis and oral squamous cell carcinoma. Considering the emerging connection between oral and systemic health, it is worth exploring the various factors associated with this widespread disease. This study investigates the association between CRP levels and dental caries in the United States population, utilizing data from the National Health and Nutrition Examination Survey (NHANES).MethodsThe study analyzed data from the 2015–2018 NHANES cycles, focusing on a nationally representative sample of individuals aged 30 years and above. Weighted multivariable negative binomial and logistic regression analyses were employed to explore the relationship between dental caries and CRP levels, adjusting for age, gender, race, education level, diabetes status, and gum disease.ResultsThe results of the negative binomial regression analysis demonstrated a positive association between higher CRP levels and an increased mean number of dental caries (Adjusted Mean Ratio [AMR] = 1.7; 95% CI: 1.3 – 2; P: < 0.001). The logistic regression analysis showed that individuals with higher CRP levels have a 50% increase in the odds of developing dental caries (AOR: 1.5, CI: 1.2 – 1.9; P: < 0.01).ConclusionThe results of this cross-sectional study of the U.S. population highlight the positive association between high CRP levels and increased dental caries. These findings contribute to the growing body of evidence supporting the integration of oral and systemic health care. Further research is necessary to deepen our understanding of the mechanistic relationship between CRP levels and dental caries.

Decoherence ensures convergence of non-adiabatic molecular dynamics with number of states.

Non-adiabatic (NA) molecular dynamics (MD) is a powerful approach for studying far-from-equilibrium quantum dynamics in photophysical and photochemical systems. Most NA-MD methods are developed and tested with few-state models, and their validity with complex systems involving many states is not well studied. By modeling intraband equilibration and interband recombination of charge carriers in MoS2, we investigate the convergence of three popular NA-MD algorithms, fewest switches surface hopping (FSSH), global flux surface hopping (GFSH), and decoherence induced surface hopping (DISH) with the number of states. Only the standard DISH algorithm converges with the number of states and produces Boltzmann equilibrium. Unitary propagation of the wave function in FSSH and GFSH violates the Boltzmann distribution, leads to internal inconsistency between time-dependent Schrödinger equation state populations and trajectory counts, and produces non-convergent results. Introducing decoherence in FSSH and GFSH by collapsing the wave function fixes these problems. The simplified version of DISH that omits projecting out the occupied state and is applicable to few-state systems also causes problems when the number of states is increased. We discuss the algorithmic application of wave function collapse and Boltzmann detailed balance and provide detailed FSSH, GFSH, and DISH flow charts. The use of convergent NA-MD methods is highly important for modeling complicated quantum processes involving multiple states. Our findings provide the basis for investigating quantum dynamics in realistic complex systems.

Computational Assessment of Novel Ruthenium Phenoxazine‐Based Complexes as Photosensitizers in Photodynamic Therapy

A computational examination of two new polypyridyl ruthenium complexes, containing meldola blue (MDB) and nile blue (NB) chromophores, is here reported in order to assess the applicability of phenoxazine‐containing complexes in photodynamic therapy (PDT). The designed complexes, named Ru‐3ENB and Ru‐3EMDB, are based on a recently synthesized Ru(II)‐based complex bearing a bipyridyl‐ethynyl‐Nile Red (NR) ligand and proposed for PDT applications. DFT outcomes elucidated how the replacement of NR with MDB induces a red shift of the maximum absorption wavelength within the therapeutic window, up to 638 nm. A change in the molecular orbitals involved in the population of excited states was observed upon chromophore substitution that results in ISC kinetic significantly faster than that computed for the synthesized complex Ru‐3ENR.