YZ Sözlüğü
Yapay Zekanın tam sözlüğü
Genomic Sequence Analysis with AI
Using machine learning algorithms to identify patterns, mutations and variations in DNA and RNA sequences.
Protein structure prediction
Application of deep neural networks to predict the 3D structure of proteins from their amino acid sequence.
Biomarker Detection by Machine Learning
Identification of predictive molecular signatures of diseases using supervised and unsupervised learning algorithms.
IA pour la découverte de médicaments
Utilisation de l'intelligence artificielle pour accélérer l'identification et l'optimisation de composés thérapeutiques candidats.
Gene expression analysis
Application of statistical methods and ML to analyze transcriptome data and identify differentially expressed genes.
Computational phylogeny
Reconstruction of species evolutionary trees using AI algorithms to analyze multiple sequence alignments.
AI for metagenome analysis
Classification and identification of complex microbial communities from environmental sequencing data.
Medical imaging and AI
Automated analysis of biomedical images (MRI, CT scan, microscopy) for diagnosis and research.
Structural bioinformatics
Modeling and simulation of complex molecular structures using AI and deep learning approaches.
AI for protein interaction networks
Prediction and analysis of protein-protein interactions to understand biological pathways and cellular mechanisms.
Phenotype prediction
Use of AI models to predict observable characteristics of organisms from genomic data.
AI for Epigenetics
Analysis of epigenetic modifications and their impact on gene expression using machine learning techniques.
AI for precision medicine
Personalization of medical treatments based on individual patients' genetic profiles through AI algorithms.
Genetic variant analysis
Automatic detection and classification of pathogenic or benign genetic variants in sequencing data.
AI for synthetic biology
AI-assisted design of artificial biological systems for therapeutic and industrial applications.