research Computer Based Screening of Selected Phytoconstituents from Cyperus Rotundus Linn. Against 5 α Reductase Enzyme
Phytoconstituents from Cyperus Rotundus may help treat hirsutism by interacting with the 5 α reductase enzyme.
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research 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research 688 Efficacy of topical Vorinostat in the reversal of alopecia areata
Topical Vorinostat shows promise for treating alopecia areata by promoting hair regrowth.
research Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research Quantitative Single-Cell Approaches to Stem Cell Research
New single-cell analysis techniques are improving our understanding of stem cells and could help in treating diseases.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Application of multi-omics techniques to androgenetic alopecia: Current status and perspectives
Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
research Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts
A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.
research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways
Securinine and ajmaline may effectively treat liver cancer, with securinine being less toxic to normal cells.
research Mouse Hair Cycle Expression Dynamics Modeled as Coupled Mesenchymal and Epithelial Oscillators
The study concluded that hair growth in mice is regulated by a stable interaction between skin cell types, and disrupting this can cause hair loss.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Artificial Intelligence in Healthcare – A Review
AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
research Analysis of the Working Principle of Hair Dye
Understanding different hair dye types can make them safer and better.
research Research on the Mechanism of Hair Dyeing Agents and Strategies for Health Risks Reduction
Hair dyes can be harmful, but risks vary by person and can be reduced.
research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
research Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
![Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds](/images/research/6712367a-949f-47c7-a756-2bfe6316fc69/small/15331.jpg)
research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
research Ligand Based 3D-QSAR Study on a Series of Steroidal Human 5α-Reductase Inhibitors
research Generation of comparative pharmacophoric model for steroidal 5α-reductase I and II inhibitors: A 3D-QSAR study on 6-azasteroids
The study created a model to help design new inhibitors for steroidal 5α-reductase enzymes.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
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 Tuning Scaffold Properties of New 1,4-Substituted Pyrrolo[3,2-c]quinoline Derivatives Endowed with Anticancer Potential, New Biological and In Silico Insights
Compound 7p shows strong potential as an anticancer agent.
research 144 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI effectively maps and quantifies drug distribution in skin tissues.
research Optimization of finasteride nano-emulsion preparation by using chemometrics approaches (and/or Box-Behnken design and regresion model)
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.