research The Effects of the Chemical Relaxer Lye on Hair Cortisol Concentrations
Lye relaxers don't significantly change hair cortisol levels.
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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 MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Relative efficacy of monotherapies for male pattern hair loss: protocol for a network meta-analysis study
research The Relative Efficacy and Safety of Therapies for Alopecia Areata: Protocol for a Network Meta-Analysis Study
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
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 Evidence Synthesis Gone Awry: The Perils of Aggregating Ineffective or Unsafe Doses in Alopecia Areata Reviews
Including ineffective or unsafe doses in reviews can lead to misleading conclusions about alopecia areata treatments.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
research Relative efficacy of minoxidil and 5-alpha-reductase inhibitors in the treatment of male androgenetic alopecia: protocol for a network meta-analysis study
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 A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.3)"
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
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 A Point to Consider in the Statistical Analysis of Scientific Studies
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 The comparative effect of monotherapies for male androgenetic alopecia: a protocol for network meta-analysis study
The document aims to compare the effectiveness of different single treatments for male pattern hair loss.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research The temptation of large numbers
Large databases in research can lead to misleading conclusions due to biases and chance findings; researchers should analyze data more rigorously.
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 Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
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.
research Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness
Researchers found 63 genes linked to male-pattern baldness, which could help in understanding its biology and developing new treatments.
research Peer Review #1 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.