Search

everythinglearnresearchcommunity

for

Search:↓

Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.

The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.

The model helps understand and improve treatments for alopecia areata by simulating hair growth and immune cell interactions.

The models can help find better inhibitors for conditions like baldness and prostate disorders.

A new model uses specific blood markers to predict if children's hair loss will return.

Biomedical innovations could extend human lifespan, but may impact pension systems.

A new method accurately predicts the flight path of unguided projectiles.

The model predicts hair breakage based on key hair properties and helps product developers.

Presurgical models can effectively and affordably screen cancer prevention agents.

A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.

Screening for reproductive health issues like endometriosis, PCOS, and STDs is crucial for early detection and prevention.

The new AI software predicts melanoma outcomes more accurately than traditional methods.

Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.

Case-only trees and random forests improve predictions of treatment effects in clinical trials.

Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.

Women with androgenetic alopecia have noticeable changes in their autonomic nervous system.

The model successfully simulates human hair growth and patterns, including hair loss types.

The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.

Keyword advertising is effective for reaching and targeting consumers.

Matrix effects in LC-MS can be managed but not completely avoided.

A machine learning model can predict alopecia areata early using specific gene markers.

Merkel cell carcinoma is most likely to recur within two years of diagnosis, and factors like immune suppression, being over 75, and male sex increase this risk.

Moles may stop growing because of cell cooperation, not just because of aging cells.

PROMETHEUS helps organize and evaluate causal claims from large language models.

Adopting the Mark Cuban Cost Plus Drug Company pricing model could save Medicare about $1.29 billion on urological drugs.

Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.

The technique accurately identifies and evaluates hair follicle structures in skin.

The 4C32 gene may help in mouse skin development and differentiation.

Two impurities in finasteride were identified and characterized as cyclohexyl and phenyl analogs.