there are approximately 100 million scientific papers ever published and of those 30 million papers are in biology. we propose to use artificial intelligence with retrieval augmented generation to solve various biological problems. With this vast amount of knowledge there are many different tasks that this could be applied to in biology. This is an enormous hidden gold mine, sitting in plain sight. there are many such problems in biology that we could attack, such as life extension, development of vaccines, treatment for rare diseases, development of new antibiotics and cancer. In the field of cancer, there are many different kinds of treatments, some more amenable to computational methods than others. Some of these treatments have the potential to be used for many different cancers, we call these platforms.
Category tags:"The proposal recognizes the untapped potential of applying AI literature analysis to biological research but lacks specific methodological details and concrete implementation strategies for the broad range of suggested applications"
Theodoros Ampas
Technical Mentor
"Good idea, but needed more advacned technical features. Not an edge runners solution"
Shebagi Mitra
Technical Mentor