tag generative-ai 
Rethinking Clinical Trials
AUGUST 3, 2023
We all have to prepare for generative AI. We already have the devices and platforms where generative AI is displayed. AI generated work has been submitted to journals and other publications. This is a very powerful and effective thing to do. The landscape is changing so fast compared to other technologies.
Intouch Solutions
APRIL 11, 2024
With today’s current possibilities, there is still so much more on the horizon for precision engagement, especially when combining it with the new and revolutionary Generative Pre-trained Transformers Artificial Intelligence (GPT AI). What needs to be done before implementing AI in precision engagement?
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pharmaphorum
JANUARY 24, 2022
IBM said the sell-off is tagged as “a clear next step” as it focuses on its platform-based hybrid cloud and artificial intelligence strategy, but it’s no secret that Watson Health has failed to live up to its early promise. IBM’s step back from health comes as tech rivals are still piling into the sector.
The Pharma Data
MARCH 7, 2022
By combining CRISPR technology with a protein designed with artificial intelligence (AI), it is possible to awaken individual dormant genes by disabling the chemical “off switches” that silence them. Cas9 binds and uses RNA as an address-tag. The AI-designed blocking protein was the cargo of the dCas9-RNA construct.
Drug Discovery World
OCTOBER 3, 2022
will discuss The role of AI and Automation in Personalised Medicine: How can AI Help in the Post- Drug Discovery Process. She coordinates the AI 4 Scientific Discovery Network and the Future Blood Testing Network, in addition to running an ethics working group. Product Manager, SPT Labtech. Fellowship Programme.
pharmaphorum
NOVEMBER 28, 2022
Instead, an AI learned from each of the company’s datasets in turn, retaining no actual data but lots of aggregate impressions. The results of the collaboration were announced earlier this year, showing that the collaboratively trained AI outperformed single-partner models on multiple axes.
Drug Discovery World
NOVEMBER 13, 2023
On Day 3, Thursday 16 November 2023, the tracks include: the second part of machine learning for protein engineering, antibodies against membrane protein targets, engineering bispecific antibodies, next-generation immunotherapies, protein stability and formulation, and protein process development.
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