Therapeutic gene target prediction using novel deep hypergraph representation learning.
We reviewed a study on HIT, a model predicting therapeutic gene targets using deep hypergraph learning. π§¬π
January 23, 2025
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Discover the newest research about AI innovations in 𧬠Genetics.
Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort.
New research highlights the role of cerebral MRA in predicting cognitive impairment in the elderly. π§ π Key factors include stenosis and radiomic features.
January 18, 2025
New Framework Enhances AI’s Ability to Analyze Genomic Data
New framework improves AI’s analysis of genomic data, enhancing accuracy in cell annotations and biological research. π§¬π¬
January 17, 2025
The Icarian flight of antibody-drug conjugates: target selection amidst complexity and tackling adverse impacts.
Antibody-drug conjugates (ADCs) show promise in cancer therapy but face challenges like toxicity and resistance. π§¬π
January 16, 2025
Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨
January 2, 2025
Identifying the Most Important Factors Associated with Multiple Sclerosis Using the Decision Tree Method.
Recent research highlights key factors linked to Multiple Sclerosis. π§ Female gender, stress, and vitamin D deficiency are significant. π
December 11, 2024
Mayo Clinic Leverages Real-World Data for Precision Medicine
Mayo Clinic uses real-world data and AI to enhance patient care and clinical decisions. This approach aims to improve treatment outcomes. π₯π‘
December 9, 2024
Introducing Evo: A Generative AI Model for Genetic Code
Evo is a generative AI model that writes genetic code, aiding research in genomics and bioengineering. π§¬β¨
December 9, 2024
In Silico Tools to Score and Predict Cholesterol-Protein Interactions.
Cholesterol’s unique role in health is explored through innovative in silico tools for predicting protein interactions. π§¬π
December 2, 2024
A machine learning-based analysis of nationwide cancer comprehensive genomic profiling data across cancer types to identify features associated with recommendation of genome-matched therapy.
Machine learning enhances cancer treatment by identifying key patient features for genome-matched therapy. π€π Comprehensive genomic profiling is crucial.
November 27, 2024