Artificial intelligence in food science and nutrition: A narrative review

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Representation Learning: A Review and New Perspectives

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High-performance medicine: the convergence of human and artificial intelligence

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Mastering the game of Go without human knowledge

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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Systematic review of research on artificial intelligence applications in higher education – where are the educators?

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Machine learning: Algorithms, real-world applications and research directions

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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

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Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research

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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

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Improved protein structure prediction using potentials from deep learning

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Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

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DNA methylation-based classification of central nervous system tumours

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Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

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Personalized nutrition by prediction of glycemic responses

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Clinically applicable deep learning for diagnosis and referral in retinal disease

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Predicting effects of noncoding variants with deep learning–based sequence model

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Artificial intelligence in medicine

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Exploring the impact of artificial intelligence on teaching and learning in higher education

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Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

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A universal SNP and small-indel variant caller using deep neural networks

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Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

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A survey of deep learning techniques for autonomous driving

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Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices

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Deep learning enables rapid identification of potent DDR1 kinase inhibitors

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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

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Building Watson: An Overview of the DeepQA Project

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Mastering Atari, Go, chess and shogi by planning with a learned model

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Mastering Atari, Go, chess and shogi by planning with a learned model

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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

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Learning multiple layers of representation

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Fully Automated Echocardiogram Interpretation in Clinical Practice: Feasibility and Diagnostic Accuracy

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Next-Generation Machine Learning for Biological Networks

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Human postprandial responses to food and potential for precision nutrition

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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

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Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

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Cross-trial prediction of treatment outcome in depression: a machine learning approach

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Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

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Deep neural network improves fracture detection by clinicians

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On-line mass spectrometric detection for capillary zone electrophoresis

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Deep generative models of genetic variation capture the effects of mutations

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Fast and accurate view classification of echocardiograms using deep learning

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Predicting Risk of Suicide Attempts Over Time Through Machine Learning

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Application of Deep Learning in Food: A Review

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Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

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Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

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DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning

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Instagram photos reveal predictive markers of depression

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Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study

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‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures

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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

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Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy

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Predicting the clinical impact of human mutation with deep neural networks

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Automated deep-neural-network surveillance of cranial images for acute neurologic events

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Digital technology enablers and their implications for supply chain management

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Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

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Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

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Aging of the immune system: Focus on inflammation and vaccination

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Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists

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Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions

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Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

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Machine learning and integrative analysis of biomedical big data

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End-to-End Differentiable Learning of Protein Structure

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An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

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Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era

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Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs

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Gut microbiome, big data and machine learning to promote precision medicine for cancer

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Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

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Perceptrons

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Machine learning approaches for the prediction of materials properties

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Wearable and Mobile Sensors for Personalized Nutrition

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Dietary metabolites derived from gut microbiota: critical modulators of epigenetic changes in mammals

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Using neural networks for reducing the dimensions of single-cell RNA-Seq data

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Deep learning in chest radiography: Detection of findings and presence of change

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A Critical Review of the Use of Surfactant-Coated Nanoparticles in Nanomedicine and Food Nanotechnology

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Prospects of robotics in food industry

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A multi-task convolutional deep neural network for variant calling in single molecule sequencing

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Evaluation of Artificial Intelligence–Based Grading of Diabetic Retinopathy in Primary Care

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Machine learning towards intelligent systems: applications, challenges, and opportunities

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Automated De Novo Drug Design: Are We Nearly There Yet?

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Machine Vision based Fruit Classification and Grading - A Review

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Artificial Intelligence in Nutrients Science Research: A Review

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The evolution of analytical chemistry methods in foodomics

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Machine learning for materials design and discovery

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Cognitive Computing and the Future of Health Care Cognitive Computing and the Future of Healthcare: The Cognitive Power of IBM Watson Has the Potential to Transform Global Personalized Medicine

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goFOODTM: An Artificial Intelligence System for Dietary Assessment

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A machine learning approach for somatic mutation discovery

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Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks

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Deep learning for predicting toxicity of chemicals: a mini review

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‘The game has changed.’ AI triumphs at protein folding

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Immune recognition of microbial metabolites

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Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions

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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

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Optimization of probiotic therapeutics using machine learning in an artificial human gastrointestinal tract

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Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder

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Food Supply Chains as Cyber-Physical Systems: a Path for More Sustainable Personalized Nutrition

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Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults

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Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides

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Combination of mass spectrometry-based targeted lipidomics and supervised machine learning algorithms in detecting adulterated admixtures of white rice

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Air Pollution Modelling with Deep Learning: A Review

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Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition

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Using artificial intelligence in health-system pharmacy practice: Finding new patterns that matter

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Cleaning-In-Place (CIP) System in Dairy Plant- Review

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Inventory management and cost reduction of supply chain processes using AI based time-series forecasting and ANN modeling

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Application of a new dietary pattern analysis method in nutritional epidemiology

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Nutritional Modulation of the Microbiome and Immune Response

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Food Safety Regulatory Research Needs 2030

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Automatic vegetable disease identification approach using individual lesion features

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Could deep learning in neural networks improve the QSAR models?

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Predictive Metagenomic Analysis of Autoimmune Disease Identifies Robust Autoimmunity and Disease Specific Microbial Signatures

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Phenotyping Women Based on Dietary Macronutrients, Physical Activity, and Body Weight Using Machine Learning Tools

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Knowledge-based hybrid decision model using neural network for nutrition management

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Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes

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Fecal Bacteria as Biomarkers for Predicting Food Intake in Healthy Adults

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Imaging biomarkers and biotypes for depression

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Artificial intelligence identified peptides modulate inflammation in healthy adults

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Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose

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Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review

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Walnut Consumption, Plasma Metabolomics, and Risk of Type 2 Diabetes and Cardiovascular Disease

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APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN MEDICINE AND PHARMACY - ETHICAL ASPECTS

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Technician-Scored Stool Consistency Spans the Full Range of the Bristol Scale in a Healthy US Population and Differs by Diet and Chronic Stress Load

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Exploring the Impact of Food on the Gut Ecosystem Based on the Combination of Machine Learning and Network Visualization

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Machine learning for tackling microbiota data and infection complications in immunocompromised patients with cancer

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A Multi-sensor Approach for Fouling Level Assessment in Clean-in-place Processes

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Automated Methods Enable Direct Computation on Phenotypic Descriptions for Novel Candidate Gene Prediction

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Deep Neural Networks for Image-Based Dietary Assessment

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The Remote Food Photography Method and SmartIntake App for the Assessment of Alcohol Use in Young Adults: Feasibility Study and Comparison to Standard Assessment Methodology

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An automated computer vision based preliminary study for the identification of a heavy metal (Hg) exposed fish-channa punctatus

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Why the metabolism field risks missing out on the AI revolution

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Machine Learning Prediction for 50 Anti-Cancer Food Molecules from 968 Anti-Cancer Drugs

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Predicting Macronutrient of Baby Food using Near-infrared Spectroscopy and Deep Learning Approach

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Health improvement framework for actionable treatment planning using a surrogate Bayesian model

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Predicting Human Clinical Outcomes Using Mouse Multi-Organ Transcriptome

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AI-based QSAR Modeling for Prediction of Active Compounds in MIE/AOP

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Machine Learning Identifies Stool pH as a Predictor of Bone Mineral Density in Healthy Multiethnic US Adults

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Enhancement of clean-in-place procedures in powder production using ultraviolet-induced fluorescence

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A Framework for Enabling Safe and Resilient Food Factories for Public Feeding Programs

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Beyond Calories: Individual Metabolic and Hormonal Adaptations Driving Variability in Weight Management—A State-of-the-Art Narrative Review

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Artificial Intelligence Technology for Food Nutrition

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Vitamins for the Gut Microbiome

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Analysis of Gut Microbiome Using Fecal Samples

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Vegetarian Diets and the Microbiome

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Precision Nutrition from the View of the Gut Microbiome

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