research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
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390-420 / 1000+ results research Gene trajectory inference for single-cell data by optimal transport metrics
research Exact, time-independent estimation of clone size distributions in normal and mutated cells
A new method accurately estimates clone sizes in cells without considering time.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers
The conclusion is that the risk of losing significance in meta-analysis results increases with smaller effects and more missing data, and using the median standard deviation for imputation is recommended.
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 An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata
The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
research LB1053 Dysregulation of antioxidant enzyme PRDX5 in alopecia areata
PRDX5 enzyme may contribute to alopecia areata by affecting oxidative stress and autoimmunity.
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 Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Enhancing Low-Light Sports Motion Images with Improved Bilateral Filtering and Auto MSRCR
The method greatly improves low-light sports images' quality and reduces artifacts.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
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 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 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 A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Topical minoxidil in the treatment of androgenetic alopecia in women.
2% topical minoxidil helps hair regrowth in women with androgenetic alopecia.
research The Importance of Readability: A Guide to Understanding Alopecia Areata through Multilingual Online Resources
Online articles about alopecia areata are too hard to understand and need to be clearer.
research Combination Therapy in Androgenetic Alopecia: A Network Meta-Analysis of Minoxidil and Other Pharmacological Agents
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research Amendments to Organizational Theorizing.
Karl E. Weick suggested focusing on everyday events and smaller groups to improve organizational theory and urged the inclusion of nonobvious aspects for better explanations.
research A Reconstitution of the Face of the French Bayard Knight (1473?-1524) Based on DNA Analyses and on Informatics Study of his Official Portrait
The face of French knight Bayard was recreated using DNA and portrait analysis.
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.