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

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Deep learning in cancer diagnosis, prognosis and treatment selection

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Artificial intelligence-based multi-omics analysis fuels cancer precision medicine

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Drug-microbiota interactions: an emerging priority for precision medicine

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Intratumoural microbiota: a new frontier in cancer development and therapy

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A non-antibiotic-disrupted gut microbiome is associated with clinical responses to CD19-CAR-T cell cancer immunotherapy

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New Insights Into the Cancer–Microbiome–Immune Axis: Decrypting a Decade of Discoveries

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Machine Learning in Nutrition Research

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Human Health during Space Travel: State-of-the-Art Review

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Utilization of the microbiome in personalized medicine

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Competition, Nodule Occupancy, and Persistence of Inoculant Strains: Key Factors in the Rhizobium-Legume Symbioses

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Machine learning approaches in microbiome research: challenges and best practices

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Application of Artificial Intelligence in Lung Cancer

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Beneficial microorganisms: Regulating growth and defense for plant welfare

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Scientists’ call to action: Microbes, planetary health, and the Sustainable Development Goals

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How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

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Translational Research in the Era of Precision Medicine: Where We Are and Where We Will Go

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Gammaproteobacteria, a core taxon in the guts of soil fauna, are potential responders to environmental concentrations of soil pollutants

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Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions

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Exploring the Potent Anticancer Activity of Essential Oils and Their Bioactive Compounds: Mechanisms and Prospects for Future Cancer Therapy

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Chemotherapeutic drugs: Cell death- and resistance-related signaling pathways. Are they really as smart as the tumor cells?

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The state of the art for artificial intelligence in lung digital pathology

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Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives

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Machine learning-enabled optimization of extrusion-based 3D printing

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Harnessing machine learning for development of microbiome therapeutics

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Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning

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Probiotic Supplements on Oncology Patients’ Treatment-Related Side Effects: A Systematic Review of Randomized Controlled Trials

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Artificial intelligence in food science and nutrition: A narrative review

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The Next Generation Fecal Microbiota Transplantation: To Transplant Bacteria or Virome

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XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer

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Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine

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Cervicovaginal microbiome, high-risk HPV infection and cervical cancer: Mechanisms and therapeutic potential

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Predicting drug-microbiome interactions with machine learning

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Gut microbiota: A magical multifunctional target regulated by medicine food homology species

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Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning

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Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention

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An overview of machine learning methods for monotherapy drug response prediction

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Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data

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Omics in gut microbiome analysis

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A Microbial-Based Approach to Mental Health: The Potential of Probiotics in the Treatment of Depression

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The transition from genomics to phenomics in personalized population health

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Artificial Intelligence: The Milestone in Modern Biomedical Research

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Microbiome as a biomarker and therapeutic target in pancreatic cancer

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Hepatocellular Carcinoma: How the Gut Microbiota Contributes to Pathogenesis, Diagnosis, and Therapy

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Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk

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Domain adaptation in small-scale and heterogeneous biological datasets

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Active Machine learning for formulation of precision probiotics

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Irritable bowel syndrome and microbiome; Switching from conventional diagnosis and therapies to personalized interventions

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Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology

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Cancer chemoprevention: signaling pathways and strategic approaches

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Elucidating the Beta-Diversity of the Microbiome: from Global Alignment to Local Alignment

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How the gut parasitome affects human health

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Machine learning-assisted cell-imprinted electrochemical impedance sensor for qualitative and quantitative analysis of three bacteria

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A new era in healthcare: The integration of artificial intelligence and microbial

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Microbial Therapy and Breast Cancer Management: Exploring Mechanisms, Clinical Efficacy, and Integration within the One Health Approach

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How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant

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Advances in molecular biomarkers research and clinical application progress for gastric cancer immunotherapy

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The gut microbiota improves the efficacy of immune-checkpoint inhibitor immunotherapy against tumors: From association to cause and effect

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Integrating the human microbiome in the forensic toolkit: Current bottlenecks and future solutions

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The Potential of Meta-Proteomics and Artificial Intelligence to Establish the Next Generation of Probiotics for Personalized Healthcare

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Precision medicine journey through omics approach

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Gut microbiome features and metabolites in non-alcoholic fatty liver disease among community-dwelling middle-aged and older adults

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Exploring the Oral Microbiome in Rheumatic Diseases, State of Art and Future Prospective in Personalized Medicine with an AI Approach

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Machine learning approach reveals microbiome, metabolome, and lipidome profiles in type 1 diabetes

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From hype to hope: Considerations in conducting robust microbiome science

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The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome

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An efficient and scalable top-down method for predicting structures of microbial communities

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Microbiome and pancreatic cancer: time to think about chemotherapy

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Modeling Microbial Communities: Perspective and Challenges

Raajaraam, L., & Raman, K. (2024) · ACS Synthetic Biology · doi:10.1021/acssynbio.4c00116 · Cited by 43

Computational methods and challenges in analyzing intratumoral microbiome data

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Recent Advances in Integrating Machine Learning with Omics Approaches in Food Science and Nutrition Research

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Learning sparse log-ratios for high-throughput sequencing data

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Characteristics of Fecal Microbiota and Machine Learning Strategy for Fecal Invasive Biomarkers in Pediatric Inflammatory Bowel Disease

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Cuckoo Search-Based Optimization for Cancer Classification: A New Hybrid Approach

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Artificial intelligence in food biotechnology: trends and perspectives

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BIG DATA ANALYTICS IN HEALTHCARE: A REVIEW OF RECENT ADVANCES AND POTENTIAL FOR PERSONALIZED MEDICINE

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Biosensors for point-of-care testing and personalized monitoring of gastrointestinal microbiota

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Bacillus licheniformis Reshapes the Gut Microbiota to Alleviate the Subhealth

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Method development for cross-study microbiome data mining: Challenges and opportunities

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