AI in Cures

Status: active

Linked literature

• Uncharted phytochemical frontiers: a systematic review of novel bioactive compounds from underexplored aromatic plants for cancer therapy
• Technology and Obesity: A Year in Review
• A systematic evaluation of deep learning-based protein structure prediction for HIV-1 enzymes
• Assessment of generative de novo peptide design methods for G protein-coupled receptors
• PathFold: Predicting the Entire Protein Folding Pathway from Protein Sequence Alone
• DRUG REPURPOSING USING ARTIFICIAL INTELLIGENCE AND NETWORK PHARMACOLOGY FOR NEURODEGENERATIVE DISEASES: A COMPREHENSIVE REVIEW
• FROM EMPIRICAL HERBAL MEDICINE TO PREDICTIVE THERAPEUTICS: THE ROLE OF AI AND MULTI-OMICS
• FROM EMPIRICAL HERBAL MEDICINE TO PREDICTIVE THERAPEUTICS: THE ROLE OF AI AND MULTI-OMICS
• Editorial: Based models and machine learning on CT, MRI and PET-CT in head and neck cancer diagnosis, staging and outcome prediction
• Integrative Multi-omics and machine learning analysis of sphingolipid-associated molecular stratification identifies diagnostic and prognostic signatures in idiopathic pulmonary fibrosis
• Applied Machine Learning for CNS Clinical Trial Risk Assessment: An Interpretable Framework with an ALS Case Study
• AI-driven drug design: a comprehensive review
• Machine Learning‐Based Discovery of Natural PknB Inhibitors Against Drug‐Resistant Mycobacterium tuberculosis With Multi‐Scale Modeling and Quantum Mechanical Validation
• Molecules to market: A probabilistic artificial intelligence framework for predicting managed care adoption at the level of drug discovery
• Transforming Healthcare With Generative AI
• From Days to Hours: Artificial Intelligence in Antimicrobial Resistance Diagnostics and Drug Discovery, and Why No Tool Has Yet Reached the Clinic
• Large language models in bioinformatics: a comprehensive survey
• A survey of transformer and LLM-based architectures, workflows, and systems in drug discovery
• An interpretable machine learning model integrating 54 test indicators and age: a single-center study on precise discrimination between serous ovarian cancer and ovarian cysts
• VARF: Synthetic Audiogram Generator, Experiment Code and Systematic Review Materials
• The AI Revolution in Drug Discovery: From Computational Innovation to Clinical Translation
• Artificial Intelligence Methods for Circadian Rhythm Recovery and Disease Identification from High-Dimensional Omics Data
• ESMDynamic: Fast and accurate prediction of protein dynamic contact maps from single sequences
• Computational Methods in Drug Development: From Molecular Modeling to Artificial Intelligence Technologies
• Progress in high-throughput screening for drug and material discovery in orthopedic diseases: a literature review
• Causal graph neural networks for healthcare
• Table 1_Pharmacoeconomic evaluation of first-line tislelizumab for extensive-stage small cell lung cancer using a comparative validation of traditional survival and machine learning models.docx
• Training set augmentation and biology-aware harmonization improve radiomic models for lung cancer prediction in indeterminate nodules
• Editorial: A molecular and structural approach to deciphering and combating infectious pathogens
• DNA-binding specificity recognition from predicted homologous protein-DNA structures
• Double electron-electron resonance (DEER) structural study of the holo and apo states of calmodulin
• Applications of Generative Artificial Intelligence
• Research and Scholarly Methods: Using Artificial Intelligence
• AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery
• Usage of Artificial Intelligence Large Language Models (LLMs) in the Chemical Industry: A Comprehensive Review
• Beyond cellular locality: Vision transformer–based modeling for diagnosis and classification of blood cancers from peripheral blood smears.
• Analysis and Interpretation of Electroencephalogram (EEG) Signals for an Automated Diagnosis of Earlier Onset of Stroke using a Convolutional Neural Network (CNN)
• AI FOR MATERIALS DISCOVERY AND PRODUCT FORMULATIONS
• Generating knotted polymer and protein structures by machine learning
• AI ‐Driven Protein‐to‐Aptamer Design Using a Transformer Architecture With Cross‐Model and Structural Validation
• AI-Enhanced Network Pharmacology: Integrated Computational Approaches for Target Identification and Drug Discovery
• AI and Machine Learning in Drug Discovery and Development:A Comprehensive Analysis
• AI and Machine Learning in Drug Discovery and Development:A Comprehensive Analysis
• Application of unsupervised genetic clustering to identify biologically distinct cholangiocarcinoma subtypes with differential survival.
• Ahead, a Novel Validated Machine Learning Model for Clinical Diagnosis of Alcohol Associated Hepatitis
• Machine Learning Model Predicts Clinical Adverse Events of Small Molecule Kinase Inhibitors in Cancer Patients Using On‐/Off‐Target Engagement and Tissue Selectivity
• Decoding variants of uncertain significance in systemic autoinflammatory diseases
• An Integrated In Silico Framework for Prioritizing Apiaceae-Derived Phytochemicals with Potential Activity Against Cancer-Relevant Receptor Tyrosine Kinases
• NbFold enables accurate and rapid nanobody structure prediction through data-centric deep learning approach
• Artificial Intelligence in Healthcare Administration and Clinical Informatics: A Critical Review and Governance Roadmap
• ARTIFICIAL INTELLIGENCE IN MEDICINAL PLANTS AND AYURVEDIC PHARMACEUTICALS: CURRENT APPLICATIONS, CHALLENGES, AND FUTURE OPPORTUNITIES
• Perception of artificial intelligence and machine learning applications in the Nigerian healthcare sector: A cross-sectional study
• Artificial Intelligence in Drug Discovery: Transforming Pharmaceutical Research and Development
• Ai-Driven Polypharmacology: Designing Multi-Target Drugs for Complex Diseases
• Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization
• Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization
• Artificial Intelligence–Driven Identification of Multidrug Resistance Genes in Cancer Genomics
• Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health
• CrLHP1-CrJAZ1 Module Regulates Monoterpenoid Indole Alkaloid Biosynthesis via JA Signaling in Catharanthus roseus
• Artificial Intelligence and Computational Modeling in Natural Product Drug Discovery
• Role of Precision Medicine in Clinical Pharmacology: A Comprehensive Review
• Contemporary Drug Design & Therapeutic Innovation
• GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance
• Few-shot learning-driven discovery of Lutein suppresses Th1-mediated inflammation via glucose metabolism
• AI-Driven Optimization of Curcumin Nanoparticles for Antidiabetic Drug Delivery
• Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery
• PocketBagger: Generalizable pocket druggability prediction via positive-unlabeled learning
• Integrative Structure-Based and AI-Guided Discovery of Natural and Analog UPP1 Inhibitors Targeting the Epigenetic-Metabolic Axis in Lung Adenocarcinoma
• AI-Guided Molecular Design Using Deep Reinforcement Learning for Drug Discovery
• PREreview of “Precision Oncology: Targeting Genomic Alterations and Cancer Signaling with Integrative Multi-Omics, Deep Learning and Network Biology in Medical Oncology”
• MolFoundry: A Structure-Aware Generative Framework for De Novo Design of PRRSV Nucleocapsid Candidate Binders
• Rethinking Molecular OOD Generalization via Target-Aware Source Selection
• “BELIEF_Datasets”
• OPTICAL SENSORS IN DEVICES AND SYSTEMS FOR FUNCTIONAL MONITORING
• The Legal Status of AI-Generated Biotech Inventions: Who Owns Life Engineered by Algorithms?
• Editorial: Evaluating differentiation therapy and biomarkers in myeloid malignancies
• Computational and multi-omics systems biology for precision microbiome therapeutics
• Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling
• AI BASED APPROACHES IN DEVELOPMENT OF PROTEIN KINASE INHIBITORS
• GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
• A Review: Role Of Artificial Intelligence in Drug Discovery: A Comprehensive Review of Emerging Trends in Pharmacology
• Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling
• A geometry-aware generative framework integrating GPS-VAE and Transformer-SELFIES for structure-based de novo drug design
• SmileyLlama: modifying large language models for directed chemical space exploration
• The Evolution Of Artificial Intelligence For Appraising Study Quality And Risk Of Bias: A Systematic Review
• GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
• Next-generation probiotics: an outlook into current applications and future developments
• Metaheuristic Optimization and Machine Learning Integration for Intelligent Microgrid Management: A Comprehensive Review
• Deep Learning for Protein Complex Prediction and Design
• Classical Docking to Machine Learning Based Docking: MolecularDocking in Drug Discovery
• Artificial Intelligence in Oncology: Integrating Screening, Diagnosis, Prognosis and Treatment
• Building a Physically-Interpretable Compressed Chemical Space via Grid-Based Optimization
• G-Protein–Coupled Receptors as Therapeutic Targets: Innovations, Challenges, and Future Opportunities in Drug Discovery
• Integrative Epigenomics: Bioinformatics Strategies for Multi-Omics Data Analysis in Health and Disease
• Artificial Intelligence (AI) and Digital Healthcare Clinical Research: A Comprehensive Review
• Benchmarking Gaze Biomarkers: A Cross-Dataset Evaluation of Kinematic, Physiological, and Statistical Features for ADHD Detection; The Anonymity Gap: How Changing Threat Models Reshape Trust, Risk, and Behavior on Tor
• ProteinFP: A Multi-Module Pipeline for Protein Function Prediction and Drug Discovery
• An SE(3)-equivariant and dynamic multi-modal engine advancing from PTM site prediction to network understanding
• Decoding Antimicrobial Resistance: Mechanisms, Evolution, and Therapeutic Challenges
• Molcano: Molecular Language for Chemical Assembly Notation
• Development of hybrid machine learning models integrated with reinforcement learning–enhanced genetic algorithms for quality control and optimization of resveratrol-loaded polymeric nanoparticles in cancer treatment
• 8th International Conference on Machine Learning & Applications (CMLA 2026)
• The role of emotional distress in disfiguring skin diseases: A view from brain-skin axis.
• APOE ε4-related structural vulnerability in mild cognitive impairment: a subsystem-based analysis of the default mode network
• Artificial intelligence in oncology drug discovery: from target identification to therapeutic molecule generation
• STARMAP: A 3D-informed framework for mapping functional regions in proteins to regulatory and cellular phenotypes
• CONVERGENCE OF SYSTEMS PHARMACOLOGY AND PRECISION THERAPEUTICS: REDEFINING ADVANCED PHARMACOTHERAPEUTICS IN THE ERA OF NETWORK MEDICINE AND INTELLIGENT DRUG DELIVERY
• The Evolution Of Artificial Intelligence For Appraising Study Quality And Risk Of Bias: A Systematic Review
• The Evolution Of Artificial Intelligence For Appraising Study Quality And Risk Of Bias: A Systematic Review
• Advances in artificial intelligence techniques for diagnosis of cardiac diseases
• DynaMo-phos Benchmark
• DynaMo-phos Benchmark
• Advances in neuropharmacology: Innovative drug strategies targeting synaptic plasticity, neuroinflammation, and ion channel regulation for future CNS treatments
• A Constraint-Weighted Transfer Model Predicts Cross-System Generalization in Protein Fitness Landscapes
• Next-Generation Strategies in Anticancer Drug Design: Future Outlook
• PREreview of “Rare Genetic Traits in Plants and Animals and How Their Preservation Can Help Humanity”
• Cardiovascular Disease Prediction with Diagnosis Information Using Deep Learning Algorithm
• A deep super-resolution GAN framework integrating ResNet-18 and CNN for enhanced Alzheimer’s disease diagnosis
• Hybrid artificial intelligence and bioimpedance spectroscopy technologies for classifying the functional state of human organs and systems
• An integrated AI-driven vaccine design process: a systematic review of workflows from generative design to translational prediction
• Artificial Intelligence & Machine Learning Integrated Nanocarrier Systems for Predictive and Targeted Therapeutic Delivery
• AI-Driven Cancer Pathway Visualization and Biomarker Prioritization Platform v1.0
• AI-Driven Drug Discovery Platform
• Beyond Antibiotics
• Artificial Intelligence and Physical Activity for Mental Health in Cognitively Impaired Older Adults
• Artificial intelligence in ovarian pathophysiology and management: a systematic review and meta-analysis
• <b>Heterogeneous Treatment Effects of a Prescription for Produce Subsidy on Diabetes Care Management</b>
• Machine Learning-Driven Simulations of the SARS-CoV-2 Fitness Landscape from Deep Mutational Scanning Experiments
• UNKAI: A protein functional identity prediction model based on ESM-C latent representations and the attention mechanism
• DPLM: Dynamics-aware Protein Language Model via contrastive learning between sequence and molecular dynamics simulation trajectory
• Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade
• Quantum Artificial Intelligence for Medical Data: Comparative Evaluation of Quantum Machine Learning Models
• Accelerating Computational Material Discovery and Learning: First Experiences with MatterSim
• Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review
• Supplementary file 1_From in silico to in vitro: discovery and validation of peptide modulators of IL-6/IL-6R signaling in rheumatoid arthritis.docx
• Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial
• Predicting Supramolecular Self-Assembly of Peptide Structures with AlphaFold3
• ARTIFICIAL INTELLIGENCE–ASSISTED DRUG DESIGN IN HETEROCYCLIC CHEMISTRY: A FRAGMENT BASED MACHINE LEARNING REVIEW
• Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
• Machine Learning for Materials Discovery and Prediction: Accelerating Innovation in Drug Development and Beyond
• Comprehensive Assessment and Benchmark of Deep Generative Models for Proteolysis TArgeting Chimera (PROTAC) Design
• Early ctDNA stratifies survival in locally advanced and oligometastatic lung cancer treated with radiotherapy.
• Application of artificial intelligence in clinical trials and drug development
• “A REVIEW ON DIGITAL PHARMACEUTICS: INTEGRATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN DRUG DEVELOPMENT”
• Global Trends in Integrating Machine Learning (ML) with Model-Informed Drug Development (MIDD): A Bibliometric and Systematic Review (2015–2025)
• Using Natural Language and Health Ontologies in Hope Recommender System: Evaluation of Use in Medicine
• Automated assessment of the trustworthiness of biomedical publications: a protocol for a scoping review
• Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.
• Recent Advances in Generative AI for Healthcare Applications.
• MIMIC: A Generative Multimodal Foundation Model for Biomolecules
• AI Alchemy in Medicine: A Vision for LLM-as-Policy Molecular Design via OpenEnv
• Automated assessment of the trustworthiness of biomedical publications: a protocol for a scoping review
• Automated assessment of the trustworthiness of biomedical publications: a protocol for a scoping review
• Correction: Metabolome and transcriptome integration reveals cerebral cortical metabolic profiles in rats with subarachnoid hemorrhage
• MIMIC: A Generative Multimodal Foundation Model for Biomolecules
• From in silico to in vitro: discovery and validation of peptide modulators of IL-6/IL-6R signaling in rheumatoid arthritis
• НАУКА ПРО ДАНІ ТА ДОКАЗОВА МЕДИЦИНА
• Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction
• AI Alchemy in Medicine: A Vision for LLM-as-Policy Molecular Design via OpenEnv
• Automated assessment of the trustworthiness of biomedical publications: a protocol for a scoping review
• AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review
• An Ensemble Deep Learning Framework for Coronary Heart Disease Detection Using Coronary Angiography Images
• DASH: A Distributed and Accelerated Framework for Million-Scale Structure-Based Molecular Generation
• MIMIC: A Generative Multimodal Foundation Model for Biomolecules
• ARTIFICIAL INTELLIGENCE – ASSISTED HEMODYNAMIC MONITORING AND PERIOPERATIVE Outcomes in ADULT Adult CARDIAC SURGERY : A SYSTEMATIC REVIEW and META-ANALYSIS
• 7th International Conference on Machine Learning & Trends (MLT 2026)
• AI-Driven Predictive Modeling for Early Diabetes Detection Using EHR Data and Ensemble Learning Techniques
• Designing Intelligent Software Systems for Early Detection of Chronic Mycobacterial Lung Disease
• Role of Artificial Intelligence in Drug Discovery and Development
• Knowledge-Enhanced Generative AI for Drug Discovery
• MIMIC: A Generative Multimodal Foundation Model for Biomolecules
• Artificial Intelligence in the Identification and Characterization of Bioactive Natural Compounds Using Machine Learning Techniques
• Editorial: Transforming chronic disease treatment with AI and big data
• AI-Augmented Discovery of Natural Compounds for Multi-System Disease and Environmental Health: A Physiology-First Translational Framework
• Interpretable Machine Learning Predicts In-Hospital Mortality in Neurosurgical ICU Patients: Peak Heart Rate as the Primary Predictor
• Applied Machine Learning for CNS Clinical Trial Risk Assessment: An Interpretable Framework with an ALS Case Study
• Enhancing the scope of the Trials to Publications tool by identifying ClinicalTrial.gov registry mentions in full-text
• Integrating AI and molecular modeling for structural prediction of a closed state of the hERG channel
• Evidence-Ranked Enzyme–Solvent Prioritization for Greener Non-Aqueous Biocatalysis
• Unlocking diverse molecular binding modes using latent feature sampling
• Artificial Intelligence-Based Phytochemical Profiling of Medicinal Plants for Nanoparticle-Mediated Drug Delivery Systems
• PREreview of “Artificial Intelligence in Global Health: Transforming the Diagnosis and Management of Infectious Diseases”
• ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY