research CSI on steroids
Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
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research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Harmonic Vibrational Frequency Simulation of Pharmaceutical Molecules via a Novel Multi-Molecular Fragment Interception Method
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
![Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds](/images/research/6712367a-949f-47c7-a756-2bfe6316fc69/small/15331.jpg)
research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research Estimativa de idade em indivíduos vivos
Age estimation tests are mostly used in civil cases for adults and the elderly in the Amazon region.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT helps understand single-cell gene expression better than current methods.
research Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.
research Some progress in global existence of solutions to a higher-dimensional chemotaxis system modelling Alopecia Areata
The system can have a stable solution under certain conditions, helping understand hair loss in Alopecia Areata.
research Cross-species amplification of human microsatellite markers in pig-tailed and stump-tailed macaques
Some human genetic markers work for genetic studies in pig-tailed and stump-tailed macaques, which can help in their conservation.
research Forensic DNA Phenotyping
Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
research Association study reveals a susceptibility locus with male pattern baldness in the Han Chinese population
A specific genetic marker is linked to male pattern baldness in Han Chinese men.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
Marxan is better for designing Marine Protected Areas in the Eastern English Channel.
research The Price Waterhouse Guide to Financial Management: Tools for Improving Performance
A new method can quickly detect alcohol abuse by analyzing hair in under an hour.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research Use of rotary echoes in 2 H
A new method accurately measures molecular movement without complex modeling.
research ISID0197 - Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.
research Using a capture–recapture method to assess the frequency of adverse drug reactions in a French university hospital
The study found that combining different databases gives a better estimate of drug side effects in hospitals.
research Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
Large language models can accurately identify monkeypox from medical records.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research MARFATIA AWARD
The screening method effectively predicts psychosis, valproate use is linked to hair loss, and IDEAS is valid for assessing mental disorder disability.
research A Method for Evaluating and Treating the Temporal Peak Region in Patients with Male Pattern Baldness
The method improves natural appearance in hair restoration by properly evaluating and treating the temporal peak region.
research A Method for Evaluating and Treating the Temporal Peak Region in Patients with Male Pattern Baldness
The method improves natural appearance in hair restoration by properly evaluating and treating the temporal peak region.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.