research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
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90-120 / 1000+ results research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Assessing a measure for Quality of Life in patients with severe Alopecia Areata: a multicentric Italian study
Alopecia Areata severely impacts mental health, causing anxiety and depression, affecting quality of life.
research Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research MachineLearning-Driven Optimization of TherapeuticSubstance Composition for High-Hardness, Fast-Dissolving Microneedlesfor Androgenetic Alopecia Treatment
Optimized microneedles promote hair regrowth better than minoxidil without safety risks.
research Aproximación a los metanálisis de comparación de múltiples tratamientos: una revisión de la literatura
Multiple treatment comparison meta-analyses help doctors make better decisions by comparing different interventions.
research JAK inhibition decreases the autoimmune burden in Down syndrome
JAK inhibition may help manage autoimmune conditions in Down syndrome.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Interactive analysis of single-cell trajectories in 3D space with Cell Journey
Cell Journey is a tool for better 3D visualization of cell changes over time.
research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research MachineLearning-Driven Optimization of TherapeuticSubstance Composition for High-Hardness, Fast-Dissolving Microneedlesfor Androgenetic Alopecia Treatment
Machine learning optimized microneedles promote hair regrowth better than minoxidil without safety risks.
research Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment.
Machine learning optimized microneedles for hair loss treatment showed better hair regrowth than minoxidil without safety risks.
research Optimizing the efficiency of recipient area estimation: a comparative study
Balancing artistic design and precision improves hair transplant results.
research Optimization of X-ray microplanar beam radiation therapy for deep-seated tumors by a simulation study
Using 100–300 keV X-ray energy is best for treating deep-seated tumors with microplanar beam radiation therapy.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research Optimal processing for proteomic genotyping of single human hairs
The method improved hair analysis for better forensic identification.
research Empirical evidence of observer bias in randomized clinical trials: updated and expanded analysis of trials with both blinded and non-blinded outcome assessors
Non-blinded assessors tend to overestimate effects in trials by about 29%.
research MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
MultiKano accurately identifies cell types in complex data better than existing methods.
research Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
research Natural variability and the influence of concurrent control values on the detection and interpretation of low-dose or weak endocrine toxicities.
Control variability makes it hard to confirm low-dose endocrine effects.
research Demonstration of photochemical grid model usage for ozone control assessment
Ingesting minoxidil can cause severe health issues, requiring urgent medical treatment.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research Compilation of a comprehensive gene panel for systematic assessment of genes that govern an individual’s drug responses
Researchers found that most genes affecting drug responses are not fully covered by commercial SNP chips, suggesting the need for more comprehensive tools to optimize drug selection based on genetics.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.