research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
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research Evaluating anti-LGBTQIA+ medical bias in large language models
Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
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 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 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 Community Detection and Patient Experience Analysis in Reddit Conversations on Janus Kinase Inhibitors using Large Language Models
A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.
research Assessment of the Ability of the ChatGPT-5 Model to Pass the Endocrinology Specialization Exam
ChatGPT-5 can pass the endocrinology exam but isn't fully reliable for clinical decisions yet.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
research The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences
Syntax-based neural networks can match Transformers in handling unseen sentences.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
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 Skin wound healing in humans and mice: Challenges in translational research
The document concludes that mouse models are helpful but have limitations for skin wound healing research, and suggests using larger animals and genetically modified mice for better human application.
research Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research AAPS and PSRC 2016 Abstract Supplement
The supplement highlighted advancements and challenges in plastic and reconstructive surgery, including the impact of smoking, chemotherapy, and new treatments like Tafluprost for hair loss.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
A web platform was created to help diagnose scalp conditions accurately and easily.
research Efficacy of platelet-rich plasma in the treatment of thin endometrium: a meta-analysis of randomized controlled trials
Platelet-rich plasma can help thicken the endometrium and improve pregnancy rates.
research Regeneration of Peripheral Nerves Using Neuroinductive Biomaterial Scaffolds
Keratin biomaterials can effectively aid peripheral nerve regeneration and improve recovery.
research Chinese Herbal Medicine for Reducing Chemotherapy-Associated Side-Effects in Breast Cancer Patients: A Systematic Review and Meta-Analysis
Chinese herbal medicine might help reduce chemotherapy side effects in breast cancer patients, but more high-quality research is needed.
research Pharmacological and Biological Efficacy of Chitosan-Based Materials
Chitosan-based materials are promising for treating diseases and healing wounds due to their beneficial properties.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
research Methotrexate-associated lymphoproliferative disorder: Sequential development of angioimmunoblastic T-cell lymphoma-like lymphoproliferation in the lymph nodes and diffuse large B-cell lymphoma in the skin in the same patient
Stopping methotrexate might reverse lymphoma-like conditions in some patients.
research Four-year experience with the preferential derivation care model for multidisciplinary care in patients with psoriasis and psoriatic arthritis
The care model improved timely diagnosis and treatment for psoriasis and psoriatic arthritis.
research Development of a Two-Dimensional Model for Predicting Transdermal Permeation with the Follicular Pathway: Demonstration with a Caffeine Study
Researchers developed a model that shows hair follicles increase skin absorption of caffeine by 20%.
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 Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.