Yet another promising Parkinson treatment that made the disease worse(!) in a large phase II/III trial. Iron chelators failed. Now NAD failed too!
1/ Could AI predict such failures? I really doubt it. We can eke out some gains but it will not realistically solve the phase III problem. 2/ We need to run more trials and "fail faster". We need cheaper labor to do so and automation from AGI will be beneficial. jamanetwork.com/journals/jama/…
The new AA data is interesting. It seems that as always google has a big model but the post-training just isn't there. High scores on omniscience but low scores on full and diverse AA index. Ant and OpenAI in a league of their own.