research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
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research A flexible fixed-sequence testing method for hierarchically ordered correlated multiple endpoints in clinical trials
The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.
research Gene trajectory inference for single-cell data by optimal transport metrics
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Explaining and predicting the single channel versus multi-channel consumer: the case of an embarrassing product
The Theory of Planned Behaviour predicts consumer behavior better when emotions, personality, demographics, and marketing are included.
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 Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.
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.
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 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 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 Development of Universal Flight Trajectory Calculation Method for Unguided Projectiles
A new method accurately predicts the flight path of unguided projectiles.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research A Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate Cancer
The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
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 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 Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
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 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 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 Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
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 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 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 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 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 Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.