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270-300 / 1000+ resultsresearch Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
Polygenic risk scores can predict the risk and outcomes of benign prostatic hyperplasia.
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 Hair keratin molecular dynamics studies
Simulations of hair keratin help improve disease treatment and cosmetic products.
research Association between SQSTM1 dysregulation and risk in alopecia areata: a Mendelian randomization study
SQSTM1 gene issues may increase the risk of alopecia areata.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research Self-Assembled Berberine-Sinapic Acid Nanomedicine for Synergistic Chemotherapy
BBR-SA nanomedicine is a safe and effective treatment for breast cancer.
research MC4R variants rs12970134 and rs17782313 are associated with obese polycystic ovary syndrome patients in the Western region of Saudi Arabia
Certain MC4R gene variants are linked to higher BMI in obese women with PCOS but do not cause PCOS.
research Virtual Insights into Natural Compounds as Potential 5α-Reductase Type II Inhibitors: A Structure-Based Screening and Molecular Dynamics Simulation Study
Eriocitrin and silymarin might be effective for hair loss treatment and need more research.
research ダブルストロボレンジファインダの開発(特別講演)(画像センシングおよび一般)
Some prostate cancers have gene changes that may affect treatment with certain drugs.
research Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
research Discovery of clinically approved drugs capable of inhibiting SARS-CoV-2 in vitro infection using a phenotypic screening strategy and network-analysis to predict their potential to treat covid-19
Four drugs were found that could potentially treat COVID-19 by inhibiting the virus in lab tests.
research Identifying SARS-CoV-2 entry inhibitors through drug repurposing screens of SARS-S and MERS-S pseudotyped particles
Six existing drugs may help block virus entry in COVID-19.
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 Application of Polarisable Continuum Modelling to assess Minoxidil solubility in mixed solvents
research Social Interest Data as a Proxy for Off-Label Performance-Enhancing Drug Use: Implications and Clinical Considerations
Clinicians should use social and prescription data to track trends in performance-enhancing drug use.
research Development of predictive regression model for perceived hair breakage in Indian consumers
The model predicts hair breakage based on key hair properties and helps product developers.
research Sequence-structure based phylogeny of GPCR Class A Rhodopsin receptors
The research found how GPCR Class A Rhodopsin receptors are related and suggested possible substances they interact with.
research Global Trends in Research of Androgen Receptor Associated With Breast Cancer From 2011 to 2020: A Scientometric Analysis
Research from 2011 to 2020 shows androgen receptors could be key for prognosis and treatment in certain breast cancers.
research Androgen receptor signaling as a new target for intervention in acute myeloid leukemia
Targeting androgen receptor signaling may improve acute myeloid leukemia treatment.
research Image 1_Associations between ionomic profile and metabolic abnormalities in a murine model of sodium sulfide induced alopecia areata.tif
Targeting specific metabolic and ionic pathways may improve alopecia areata treatment.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study (Preprint)
The study aims to create a model to improve personalized and preventive health care.
research Minimizing Factual Inconsistency and Hallucination in Large Language Models
A new method improves the accuracy and reliability of language models by up to 42%.
research 397 Predictive modeling of drug response and mechanism of action in alopecia areata clinical trials
Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
research Synthesis of avicequinone c and analogs toward the study of 5α-reductase inhibitory activity
2-Hydroxy-1,4-naphthoquinone is a strong 5α-reductase inhibitor.
research Quantitative image analysis for hereditary hair disorders
research Development and evaluation of animal models for sex steroid deficient dry eye
The animal models successfully simulated dry eye related to sex steroid deficiency.
research Steroid sulfatase inhibitors
Steroid sulfatase inhibitors could help treat hormone-related disorders and cancers.
research OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.