Artificial Intelligence and Machine Learning in Oncology
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing oncology by analyzing large datasets to improve diagnosis, treatment planning, and drug discovery. AI can detect cancer in medical images with high accuracy, predict patient outcomes, and personalize treatment based on genetic and clinical data. ML algorithms help identify novel biomarkers and accelerate the development of new therapies. These technologies also support clinical decision-making by integrating data from genomics, radiology, and pathology. While challenges include data privacy and algorithm transparency, ongoing research aims to refine AI tools to deliver faster, more accurate, and cost-effective cancer care.
Related Conference of Artificial Intelligence and Machine Learning in Oncology
April 13-14, 2026
23rd International Conference on Breast Pathology and Cancer Diagnosis
Tokyo, Japan
Artificial Intelligence and Machine Learning in Oncology Conference Speakers
Recommended Sessions
- Artificial Intelligence and Machine Learning in Oncology
- Breast Cancer
- Cancer Case reports
- Cancer Genomics and Epigenetics
- Cancer Personalized Medicine
- Cancer Pharmacology
- Cancer Prevention and Lifestyle Interventions
- Cancer Research
- Cancer Stem Cells and Tumor Heterogeneity
- Cancer Survivorship and Long-Term Care
- Cancer Therapy
- Cancer Vaccines: Therapeutic and Preventive
- Cell and Gene Therapy for Cancer
- Combination Therapies and Synergistic Drug Protocols
- Drug Resistance in Cancer Therapy
- Financial Toxicity and Healthcare Disparities in Cancer Care
- Head and Neck Cancer
- Immunotherapy and Immune Checkpoint Inhibitors
- Liquid Biopsies and Circulating Tumor DNA (ctDNA)
- Oncolytic Viruses and Novel Biologic Therapies
- Palliative Care and Quality of Life in Cancer Patients
- Pediatric and Rare Cancers
- Personalized and Precision Oncology
- Radiomics and Imaging Innovations in Cancer Detection
- Targeted Therapy and Small Molecule Inhibitors
- Tumor Microenvironment and Cancer Metastasis
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