Throughout the summit, participants will engage with leading experts and industry pioneers to explore:
- Diagnosis and Prediction: AI algorithms can analyze medical images, such as X-rays, MRIs, and CT scans, to assist doctors in detecting abnormalities and making accurate diagnoses. AI can also analyze patient data, including symptoms, medical history, and genetic information, to predict the likelihood of certain diseases or conditions.
- Drug Discovery and Development: AI is being used to accelerate the drug discovery process by analyzing vast amounts of biological and chemical data to identify potential drug candidates. AI algorithms can also predict how different drugs will interact with specific patients, leading to more targeted and effective treatments.
- Natural Language Processing (NLP): NLP algorithms can analyze unstructured data from sources like electronic health records, medical notes, and research papers to extract valuable insights and support clinical decision-making. NLP-powered chatbots can also interact with patients to answer questions, provide information, and schedule appointments.
Sessions include:
- Endocrinology and Hypertension
- Ambient and Wearable Devices, Biomedical Signal Processing, and Health Monitoring
- AI for Diabetes Treatment, T1D Patients, Nutrition Estimation, and Glucose Control
- AI for Healthcare in Action: What You Need to Know as a Decision Maker?
- Artificial Intelligence and Statistical Genetics for Diagnosing Thyroid Cancer
- Mining the Medical Record for Bone Health
- Gen AI in Clinical Practice: Promise, But Much to Improve
