Well analysed and written 👏 Thanks Sean for this clear and honest review on the true current state of AI for drug R&D, and the specific opportunities that lie ahead. For the next phase, we definitely need fresh eyes and not more of the same.
Thanks for writing this, it clarifies a lot. You really nailed that point about the gap between computational eleagance and clinical efficacy. It kinda reminds me of Pilates, where a move looks perfect on paper but my body's reality is something else entirely. Super relevant for AI challenges!
Excellent articl - the interpolation vs extrapolation framing really nails the core problem. The RG7112 example upfront is perfect for showing how perfect target engagement means nothing when the biological system has compensatory pathways we didnnt model. I've seen similar failures in clinical pipelines where everything looked great on paper until humans revealed complexity we couldn't capture in vitro.
Bravo. A review article that is sufficiently broad in scope to encapsulate biology and the usual software analogies and is neither pessimistic nor utopian.
Well analysed and written 👏 Thanks Sean for this clear and honest review on the true current state of AI for drug R&D, and the specific opportunities that lie ahead. For the next phase, we definitely need fresh eyes and not more of the same.
Thanks for writing this, it clarifies a lot. You really nailed that point about the gap between computational eleagance and clinical efficacy. It kinda reminds me of Pilates, where a move looks perfect on paper but my body's reality is something else entirely. Super relevant for AI challenges!
Excellent articl - the interpolation vs extrapolation framing really nails the core problem. The RG7112 example upfront is perfect for showing how perfect target engagement means nothing when the biological system has compensatory pathways we didnnt model. I've seen similar failures in clinical pipelines where everything looked great on paper until humans revealed complexity we couldn't capture in vitro.
Bravo. A review article that is sufficiently broad in scope to encapsulate biology and the usual software analogies and is neither pessimistic nor utopian.