I thought the @Nike line is “Just Do It”, and not “Just Hold It”! I had to do exactly that when my brand new Next% shoes weren’t holding it together anymore after a Half Marathon. Lucky that I didn’t do a Full Marathon this time! #NikeFail
With the rapid rise of #LLM, what aspects of our work might become commoditized at tokens/$, and how might our own capabilities rise along with it? We are happy to offer a primer for drug R&D scientists grappling with such questions https://t.co/2CdaTyk6zS
Understand avenues of success for implementing AI/ML into Clinical Pharmacology workflows when you attend this upcoming #ASCPTwebinar (1/31 at 1:30 pm ET). https://t.co/T7bOeY4ROE
Looking forward to the IQ Symposium on #AI Unlocking the Future of Drug Discovery & Development in Washington DC! We are at the dawn of a new effort aimed at advancing #AI#MachineLearning applications in biopharma https://t.co/6e2HobmMj4
The coming together of Data and Compute over the decades have given rise to new disciplines. In the most recent wave, what is poised to emerge from it?
It was our pleasure to have Dr James Lu @JamesLu01 come visit @UBuffalo#SPPS today as our first speaker in #PharmSci seminar series and give a talk on the topic of AI-driven modeling for drug development!
Great experience giving a lecture for the course "AI in Drug Development" at UCSF! I asked the PhD students which of them are already using #AI in their research - and the majority already do. Looking forward to going back and lead a journal club discussion.
Timely topic on Responsible #AI for Safe and Equitable Health (RAISE). Thrilled to hear from authors of my recent reads 📚: @drfeifei "The Worlds I See" and @peteratmsr "AI Revolution in Medicine: GPT-4 and Beyond"
An enlightening memoir of @drfeifei: just as first light in primordial oceans may have led to intelligence, so did her work in ImageNet let machines see and led to AI. This is a story of a scientist chasing her North Star and make the light her own.
This review discusses the challenges of using #AI/ML in precision medicine. It also lays out a call for action to enhance the applications of AI/ML in precision medicine. Read on to find out more! #CPTJournal#ASCPTjournalfamily@ASCPT_ClinPharm
https://t.co/dtfpOlWlf0
A takeaway from #ASCPT2024@ASCPT_ClinPharm: we saw #AI rising on the New Horizons. It started with the whole-day Pre-Conf on #AI and ended with 3 fascinating #AI themed sessions on the last day. What are the implications? So we asked our #AI partner:
By applying #deeplearning to synthetic PK, we showed that it's possible to generate a "specialist" numerical approximator for the domain of PK profiles, with benefits compared to the "generalist" approximators used in Noncompartmental Analysis. #PSPjournal https://t.co/qeyoMDGBPn
Congrats to the team for acceptance by #ICLR2024 Workshop on Time Series for Health, for our work on Pharmacology-Informed Neural-SDE for #digitalhealth! https://t.co/prsfxXZai9
This #ASCPT2024 Pre-Conference will showcase different aspects of AI used in clinical pharmacology and translational science, including cutting-edge AI tools, commonly used data sources, and successful case studies and applications. https://t.co/8XJcqNltQ5
#ASCPT2024 needs your insights on #AI! Contribute your expertise & make your voice heard - results of survey will be revealed after the event https://t.co/8dn3DFMBMF
In the age of GenAI, this interesting book by @MarcusduSautoy addresses a question of increased relevance as machines begin to reach for the two peaks of human creativity: Art and Science
In a new state-of-the-art review, @calimagna and colleagues discuss the application of #AI in precision medicine, including practical approaches to challenges such as differential privacy, synthetic data generation, and federated learning @ASCPT_ClinPharm
https://t.co/fIopbBUst3