Search
for
Sort by
Research
120-150 / 1000+ results
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 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 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 Enhancing Cancer Therapy with Hyperthermia: Synergistic Effects with Natural Compounds and Conventional Treatments
Combining hyperthermia with natural compounds and conventional treatments improves cancer therapy effectiveness and reduces side effects.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Re‐Innovation in Clinical Trial Designs Based on Precision Therapy
Clinical trials should use innovative designs and biomarkers to improve precision therapy and patient outcomes.
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 <p>Poly(γ-Glutamic Acid)/Chitosan Hydrogel Nanoparticles For Effective Preservation And Delivery Of Fermented Herbal Extract For Enlarging Hair Bulb And Enhancing Hair Growth</p>
The nanoparticles improved hair growth and enlarged hair bulbs.
research Matrix matching in quantitative bioanalysis by LC–MS/MS a dream or a reality?
Accurate quantitative bioanalysis using LC-MS/MS is challenging due to matrix effects, but using internal standards and new methods like in-sample calibration could improve results.
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 Trends and techniques: a statistical review of hair care product evaluation research
Better standardization and transparency in statistical reporting are needed to improve hair care research quality.
research Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Enriching Proteolysis Targeting Chimeras with a Second Modality: When Two Are Better Than One
Adding a second method to PROTACs could improve cancer treatment.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Poster 252 Patient Registry of Outcomes in Spasticity Care
The data suggests that dosing differences can help manage spasticity in patients with upper motor neuron dysfunction.
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 Therapy of hypertrichosis
Individualized treatment plans are crucial for managing excessive hair growth.
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 Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms
The new automatic tool accurately measures hair thickness and is reliable.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research OPTIMASI FORMULA HAIR TONIC MIKROEMULSI BIOTIN (VITAMIN B7) DENGAN METODE FACTORIAL DESIGN
The best biotin hair tonic formula has 20% span 80, 9.47% tween 80, and 5% PEG 400.
research Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
research Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Numerical Methods for Decision-Making in Clinical Care: Where to Now?
Hyperbaric oxygen therapy shows promise for multiple sclerosis, but skepticism and funding issues limit tech use in clinics, and outdated single-drug cancer treatments may cause unnecessary side effects.
research Select the most correct answers – multiple answers possible for questions 1–11
Medical practitioners need to understand basic statistics to properly evaluate clinical trials and avoid unethical designs.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.