Gene expression-driven brain parcellation via manifold convolutional neural networks
Novel approach to brain parcellation using gene expression data and manifold convolutional neural networks.
Novel approach to brain parcellation using gene expression data and manifold convolutional neural networks.
Machine learning approach to reduce acute kidney injury from nephrotoxic medications in hospitalized adults.
Deep learning architecture using attention mechanisms for accurate flood prediction and management.
Automated framework for identifying heart failure patients using self-supervised learning techniques.
Using self-organizing maps to uncover patterns in how organisms respond to environmental stressors.
High-throughput classification of 2D infrared spectra using machine learning for chemical analysis.
Using GRU networks to predict disease biomarkers from volatile organic compound signatures.
Hybrid approach combining deep learning and physics simulations for accurate protein structure prediction.
Neural network approach to predict high-level quantum chemistry calculations for metal interactions.
Natural language processing analysis of patent law documents to measure consistency and predictability.
Machine learning models to predict symptoms in cancer patients with multiple comorbidities.
Using GANs to create digital twins of cities for sustainability and resilience planning.
Deep learning approach to cluster and risk-stratify syncope patients in emergency settings.
AI-driven analysis of structural inequities and intersectionality in suicide deaths across the US.
Predictive model for determining successful extubation timing in neonatal intensive care.
AI-powered document scanning and processing solution for large-scale financial services.
Machine learning optimization of delivery routes and sales journey planning.
AI-driven product recommendation engine with integrated sales prediction capabilities.
Investigating genetic factors in hearing loss and tinnitus through AI analysis using UK Biobank database.
Adaptive treatment planning using reinforcement learning for prostate cancer therapy.
AI-driven personalized learning approaches for primary school education using transformer models.
Natural language processing analysis of attachment patterns in adult interviews.
NLP tools to enhance empathy and communication in oncology care settings.
Using large language models for behavioral analysis in diverse older adult populations.
AI-powered video pattern detection and analysis for visual content understanding.
Analysis of >150,000 treatment cycle outcomes from the National SARTCORS Database to predict IVF success.
AI chatbot for antibiotic resistance interpretation and stewardship guidance.
AI analysis of leadership selection patterns and biases in team environments.
Theoretical framework for understanding generative AI through information theory and asymptotic equipartition.
ML and NLP approaches to predict disease progression in lung cancer patients.
AI analysis of the relationship between imaging and genetic markers in hearing.