Track: Artificial Intelligence in Cancer Research
The session on "Artificial Intelligence in Cancer Research" will focus on the transformative impact of AI on cancer research, diagnosis, and treatment. AI has become a game-changer in oncology, providing new tools that enhance precision in cancer research. This session will explore into how AI is being applied in various aspects of cancer science and therapy, offering a glimpse into the future of cancer care.
AI and Cancer Imaging technologies are enhancing the accuracy and speed of cancer detection. By analyzing detailed imaging data, AI can identify tumors earlier and more precisely.
AI is accelerating the Cancer Discovery and Development of new drugs. By analyzing vast datasets, AI can identify potential side effects and the drug development process to bring new treatments to market faster.
Robotic intelligence, combined with AI, is advancing precision in surgical oncology with greater accuracy, leading to better patient outcomes while personalized medicine is being redefined by AI’s ability to tailor treatments to each patient’s unique genetic makeup.
AI is bridging the gap between laboratory research and clinical practice in Translational Oncology. Furthermore, AI supports Clinical Decision-Making, helping oncologists select the best treatment options based on real-time data and analytics.
From optimizing treatment protocols to predicting patient responses, AI is enhancing the effectiveness of clinical and anticancer treatments which helps to shape the future of oncology.
Scientific Highlights
- Cancer Research Therapy and Autoimmune Diseases
- Cancer Biology and Biomarkers
- Types and Causes of Cancer
- Hematology in Cancer
- Organ Specific Cancer
- Cancer: Awareness, Lifestyle and Nutrition
- Oncology Subspecialties
- Advancements in Cancer Imaging Technologies
- Cancer Genomics and Epidemiology
- Cancer and Immunology
- Tumor Pathology and Cancer Cytopathology
- Cancer Pathophysiology
- Neuro and Radiation Oncology
- Stem Cell and Gene Therapy
- Prevention and Palliative Care in Cancer
- Rehabilitation of Cancer Survivors
- Cancer Screening and Diagnosis
- Clinical Trials of Cancer
- Traditional Therapy for Cancer Treatment
- Complementary and Alternative Cancer therapy
- Artificial Intelligence in Cancer Research
- Future Technology in Oncology