Traditional manual analysis of medical reports is extremely time consuming but crucial for accurate diagnosis and effective patient screening. 

In a recently published scientific study, Luís Elvas - Health Data Engineer in the Breast Cancer Research Programme at the Champalimaud Foundation - and colleagues, have shown that fine-tunning language models can be used for automated analysis of medical reports. This approach can streamline daily clinical workflows, improve categorisation of diseases in patients and offer a tool for new clinical research analysis.

Following Episode 5 - Part 1, where we explored the hidden world of the hypothalamus and the “love hormone” oxytocin, this second part of Hedi’s conversation with neuroendocrinologist Gareth Leng takes us even deeper.