research Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
Tadalafil and Finasteride may help treat aggressive melanoma.
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120-150 / 1000+ results research Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients
SARS-CoV-2 may worsen IPF due to shared genes and pathways, suggesting potential drug targets.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Hair microscopy: an easy adjunct to diagnosis of systemic diseases in children
Hair microscopy is a simple and cost-effective method to help diagnose systemic diseases in children.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research A review on computer‐aided chemogenomics and drug repositioning for rationalCOVID ‐19 drug discovery
Computer-aided methods can speed up COVID-19 drug discovery and help find new uses for existing drugs.
research Knowledge Mapping of Drug Repositioning’s Theme and Development
Drug repositioning can save time and money but needs more support.
research Stem cells, organoids and their applications for human diseases: Special issue of BMB Reports in 2023
Organoids created from stem cells are used to model diseases, test drugs, and develop personalized and regenerative medicine.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Adsorption of Diclofenac and PFBS on a Hair Keratin Dimer
Human hair keratin might be good for filtering out harmful substances from water.
research In Silico Characterization and Analysis of Clinically Significant Variants of Lipase-H (LIPH Gene) Protein Associated with Hypotrichosis
Three specific mutations in the LIPH gene can cause hair loss by damaging the protein's structure and function.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Harmonic Vibrational Frequency Simulation of Pharmaceutical Molecules via a Novel Multi-Molecular Fragment Interception Method
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
research Comparative Analysis of Chloroplast Genomes in Sansevieria Reveals Phylogenetic Relationships and High Variability Molecular Markers
Sansevieria and Dracaena are evolutionarily linked, and a specific gene marker can distinguish closely related species.
research Drug–Drug Coamorphous System of Tadalafil and Finasteride for Enhanced Pharmaceutical Performance
Combining tadalafil and finasteride improves their solubility and effectiveness.
research Role of DNA Methylation in the Pathogenesis of Skin Disorders: Mechanisms, Inhibitors of Methylation‐Related Enzyme, and Molecular Docking Studies
Targeting DNA methylation can help treat skin disorders and cancers.
research scMC learns biological variation through the alignment of multiple single-cell genomics datasets
scMC effectively separates biological signals from technical noise in single-cell genomics data.
research Drug Repositioning: New Approaches and Future Prospects for Life-Debilitating Diseases and the COVID-19 Pandemic Outbreak
Drug repositioning offers a cost-effective, lower-risk way to treat diseases and pandemics like COVID-19.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Past, Present and Future Perspectives of Forensic Genetics
Forensic genetics can now predict physical traits and lifestyle habits, with future advancements expected from new technologies.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research Volume imaging to interrogate cancer cell-tumor microenvironment interactions in space and time
Advanced imaging methods have improved understanding of cancer cell interactions and treatment strategies.
research Selection signatures for fiber production in commercial species: A review
Genomic research can help improve the quality and production of natural fibers in animals.
research Capsaicin: an in-depth review of its chemical properties, health benefits, and challenges in food applications
Capsaicin offers health benefits and flavor but faces challenges in food use.
research Challenges associated with the identification of germline variants on myeloid malignancy genomic profiling—a Singaporean experience
Genomic profiling for myeloid cancers can find important inherited mutations, but it's challenging when these mutations aren't related to the patient's symptoms.