AI models for Biology
A good website keeping us all current for biological AI models. https://bio.rodeo There are not that many open models but the website lists their “openness” and their citation.
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Fitness landscape for antibodies (Flab2)
There have been many AI models to predict the structure of proteins, especially antibodies. There are several key aspects to developing antibodies as drugs beyond binding to the target of interest. These are : thermostability, expression, aggregation, binding affinity, pharmacokinetics, polyreactivity and immunogenicity. There have been many models available such as IgLM, ProGen2, Chai-1, ESM2,…
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Causes of Death
If you’re a billionaire, then you’ve got a lot of wealth and access to our resources. However, what you do not have is access to additional years of your life.There has been a wonderful Substack post about how billionaires die. It turns out that most of the death is due to aging and unspecified reasons,…
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Interest in aging research 2026
Interest in longevity is increasing. There are many conferences in aging research – almost 2 a month for 2026. For a full list see here:
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AI job search
With AI enabling many activities in the job hunt process, it is expected that many job applicants and executive at hiring companies use AI based tools for the process. The “automated” process used to be enabled by keywords which was the way that the candidates were selected from a large pool but with the availability…
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AI | Biology | Pharmaceutical
AWS Target Discovery agent
AI agents are everywhere accomplishing activities. Drug Discovery agents have been coming on fast and the scale at which these agents approach drug discovery is phenomenal. There is a great example of a AWS agent that was SPECification built using Kiro from scratch in 3 weeks that delivers drug targets. Amazing to see that it…
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Noetik – Data driven models
Came across an interesting company called Noetik.ai https://www.noetik.ai/ Their platform and models are using spatial biology data to develop AI models that could help in drug discovery. They have partnered with GSK to in Colorectal cancer and Non small cell lung cancer and GSK will license their OCTO models for their research. The image is…
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Developmental origins of metabolic disease
8 pillars according to Kent L. Thornburg, MS, PhD, FAPS, Oregon Health & Science University Pillar 1: We all carry a genetic burden from our parents and grandparents, with most money spent on late-stage prevention rather than early-stage prevention. Pillar 2: Birthweight associations reveal that average-term births are least associated with disease, while high- and…
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Risk and Uncertainity
There’s a difference between risk and uncertainty. Let’s think about biology. If we compare humans, each of us has two eyes, two hands, and two legs, and we’re mostly similar genetically. Therefore, when we develop a medication, there’s a certain risk in what effects and side-effects it will have. This is a risk. It’s quantifiable;…
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AI in subjective domains
I am exploring how AI can scale expert feedback in subjective domains with a hobby project. After visiting art museums around the world, I kept coming back to a familiar challenge: how do you consistently evaluate something inherently subjective? After having created medical devices in pain, the idea was worth exploring. It’s a question that…
