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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210-240 / 1000+ results research Analyses prospectives de mortalité : approches actuarielle et biomédicale
Biomedical innovations could extend human lifespan, but may impact pension systems.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research A computationally inferred regulatory heart aging model including post-transcriptional regulations
Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.
research Multiscale modelling of human hair
Human hair becomes weaker and stretches more easily at higher temperatures.
research Dynamic spatiotemporal coordination of neural stem cell fate decisions through local feedback in the adult vertebrate brain
Neural stem cells use local feedback to maintain balance in the adult brain.
research In-silico cardiac aging regulatory model including microRNA post-transcriptional regulation
Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
research One of These Things Is Not Like the Others: The Idea of Precedence in Health Technology Assessment and Coverage Decisions
The conclusion is that formalizing how past decisions influence current health technology assessments could improve the credibility and defense of coverage decisions.
research Animal models for male pattern (androgenetic) alopecia.
The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
research A computational modelling framework to quantify the effects of passaging cell lines
Passage numbers affect cell growth and experiment results.
research Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data
Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.
research Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
Mitochondrial genes help predict breast cancer outcomes and spread.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Continuous Dynamics of The Hair Follicle: Spiral Model for Understanding Follicular Activity Throughout Life
The Spiral Model helps understand hair growth changes with age and identify hair problems early.
research Author response: Interplay of opposing fate choices stalls oncogenic growth in murine skin epithelium
The balance between cell renewal and differentiation controls the growth of cancerous cells in mouse skin.
research Animal models of alopecia
The best animal model for studying male-pattern baldness is the stumptailed macaque, not rats or mice.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
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 Genetic Prediction of Eye, Hair, and Skin Color: Forensic Applications and Challenges in Latin American Populations
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.
research Risk factors for prostate cancer: An umbrella review of prospective observational studies and mendelian randomization analyses
Physical activity, height, and smoking affect prostate cancer risk.
research Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
research Modeling animal genomics in mice: An authentic approach for the functional interrogation of evolutionarily and agriculturally critical variants
Mouse models are essential for studying and improving genetic traits in agriculture.
research Logic-Based Modeling and Drug Repurposing for the Prediction of Novel Therapeutic Targets and Combination Regimens against E2F1-Driven Melanoma Progression
Cialis and Finasteride could be repurposed to treat aggressive melanoma.
research 1430 Modeling the onset of senescence associated secretory phenotype predicts therapeutic targets
The research found that blocking a gene called NEMO can potentially prevent harmful effects of aging at the cellular level.
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 Risk factors for prostate cancer: a case-control study investigating selected key exposures and their interactions with predisposition genes
Age, race, family history, and certain genetic factors increase prostate cancer risk.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.