The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge, to discuss common themes and explore different topics and methodologies. The sessions open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics.
-
05Jun
-
04Jun
Speakers:
Namshik Han, CardiaTec Biosciences and Milner Therapeutics Institute
“Integrating human-centric multi-omics and AI for cardiovascular therapeutics” -
02Jun
Café Synthetique is the monthly meetup for the Cambridge synthetic and engineering biology community with informal talks, discussion and pub snacks. Speakers range from students and group leaders to industry professionals and entrepreneurs.
-
02Jun
-
29May
Tobacco smoke-induced pulmonary hypertension and lung emphysema
Prof Norbert Weißmann - Justus Liebig University, Germany.
-
21May
Evaluating PPI (for Researchers)
-
09May
This is a 1-day workshop designed to equip you with knowledge of large language models (LLMs) for use in scientific research. The course will introduce LLMs and how they work. Next, we’ll discuss approaches to prompting and RAG, along with the methods that are used to finetune LLMs.
-
08May
The AI Club brings together the Biomedical AI and Machine Learning community in Cambridge, to discuss common themes and explore different topics and methodologies. The sessions open conversations to inform, inspire, and connect researchers at all levels, on topics within computational biology, AI and bioinformatics.
-
07May
A one day workshop to equip researchers with knowledge of workflows and tools they can use to package and publish their code. Releasing software outputs from your research is an important step for open science and enables other researchers to utilise your code and for your work to have further impact.
-
07May
This event is an excellent opportunity for ECRs (PhD students, postdocs, and early career fellows) involved in basic cardiovascular science research to network, present their work, and engage with peers.