was successfully added to your cart.

Medical AI Applications Blog

Case Studies and Lessons Learned from Applying AI in Healthcare and Pharma.

Clinical decision making is often based on analysis of retrospective patient cohorts to enable and guide treatment decisions. In general, there are large volumes of data within hospitals within Electronic...

In medicine, evidence forms the cornerstone of its paradigm, primarily derived from data. Across the...

Significance for Cancer Diagnosis Biomarkers (short for biological marker) are measurable biological indicators that provide crucial information about health status, disease processes, or treatment responses. Biomarkers can be molecules, genes,...

Builders and buyers of AI systems are required to test and show that their systems comply with legislation – on safety, discrimination, privacy, transparency, and accountability. This talk covers recent...

Grant will fund R&D of LLMs for automated entity recognition, relation extraction, and ontology metadata...