research Machine learning for nanozyme development in anti‐inflammatory applications
Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.
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research Can chronic recurrent dermatoses be managed through augmented virtual reality?
Augmented virtual reality can help manage chronic skin conditions.
research Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
research Decision letter for "Repeated finasteride administration promotes synaptic plasticity and produces antidepressant‐ and anxiolytic‐like effects in female rats"
research Decision letter for "Repeated finasteride administration promotes synaptic plasticity and produces antidepressant‐ and anxiolytic‐like effects in female rats"
research Turing patterns in development: what about the horse part?
Turing patterns are now recognized as important in developmental biology.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research Phase separation: a new window in RALF signaling
LLPS is crucial for RALF signaling, aiding plant growth and stress resilience.
research Trained Immunity and Local Innate Immune Memory in the Lung
Lung immune cells can be trained to better fight infections after a virus.
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 Self-Amplifying RNA Approach for Protein Replacement Therapy
Self-amplifying RNA could be a better option for protein replacement therapy with lower doses and lasting effects, but delivering it into cells is still challenging.
research Artificial Intelligence in Hair Disorders: A Narrative Review
AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
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 Long-term live imaging, cell identification and cell tracking in regenerating crustacean legs
A new method allows detailed tracking of cell regeneration in crustacean legs.
research Transcranial Red LED Therapy: A Promising Non-Invasive Treatment to Prevent Age-Related Hippocampal Memory Impairment
Red light therapy may help prevent memory loss as we age.
research From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
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.
research Rejuvenation: an integrated approach to regenerative medicine
Rejuvenating self-repair mechanisms could improve organ recovery in regenerative medicine.
research Recent advances in drug repositioning and rediscovery for different therapeutic activities utilizing updated technological approaches
Using existing drugs for new treatments is cost-effective and safer.
research Probing neuronal functions with precise and targeted laser ablation in the living cortex
The laser system helps study brain cell functions by precisely removing specific cells and observing changes.
research Neonatal finasteride induces anxiogenic-like profile and deteriorates passive avoidance in adulthood after intrahippocampal neurosteroid administration
Finasteride given to baby rats causes anxiety-like behavior and worsens learning from punishment in adult rats.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Problem-Based Learning Tools: Problem-Based Learning Pedagogy and Strategies Are Used to Implement Project-Based Science
Problem-based learning in a biology class improved students' thinking and problem-solving skills.
research Isolation rearing-induced reduction of brain 5α-reductase expression: Relevance to dopaminergic impairments
Isolation stress in rats reduces brain enzyme levels, affecting dopamine function.
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 Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research The neurosteroidogenic enzyme 5α-reductase modulates the role of D1 dopamine receptors in rat sensorimotor gating
5α-reductase affects dopamine receptors linked to sensorimotor gating, which may help understand disorders like schizophrenia.