@BioAI_Neuro

@MIT trained Neuroscientist writing on ⚡Bioelectricity |⏳Longevity | 💊AI Drug Discovery

🎯 [email protected]

[@BioAI_Neuro @BioAI_Pharma]

Friends and colleagues often ask, “What are the top 100 important "AI in Biology" papers that provide broad insights into the field?” 📚🔬 While narrowing it down to exactly 100 is no small feat, I’ve curated a list of foundational and impactful #BioAI papers. I'm sure the list would exceed more than 100 given the relentless expansion of this thrilling field! Please follow this thread for key insights, and please feel free to suggest any papers I may have missed!

With my background and interests, I prioritize papers in #AgingBiology, #CellBiology, and #Neuroscience. I’ll keep this thread pinned to my profile and update it regularly. I encourage everyone to add more papers from their own expertise—let’s make this interactive and foster engaging discussions! Here is a collection of essential #AIbio papers. #100_AIBio_Papers #AIBio_papers #AIBio_Chat #AIneuro_papers #AI_AgingBio_papers

[@BioAI_Neuro @BioAI_Pharma]

@Rezgar_p Are you working on world models ?

[@BioAI_Neuro @BioAI_Pharma]

Indeed, world models are next big thing in BioAI

[Ron Alfa @Ronalfa]

World models is how we will simulate and interrogate biology to solve disease.

[@BioAI_Neuro @BioAI_Pharma]

@Rezgar_p I don’t have yet. Started reading about world models

[@BioAI_Neuro @BioAI_Pharma]

Targeted degradation of amyloid-β https://t.co/O1JdRpWC8O

[@BioAI_Neuro @BioAI_Pharma]

Exon skipping to treat Rett syndrome https://t.co/yeNkbB0Ai9

[@BioAI_Neuro @BioAI_Pharma]

Autophagy modulation in cancer | Nature Reviews Drug Discovery https://t.co/GUvQxe4UXA

[@BioAI_Neuro @BioAI_Pharma]

This is so cool! Thanks for sharing. This is a must read for the BioAI community!!!

[Bauer LeSavage @bauer_lesavage]

The training data market has exploded for LLMs and bio foundation models are next.

But biological data is extremely complex and requires a data generation playbook that prioritizes quality over immediate scale.

@_DimensionCap Research article live now!

https://t.co/3CqSYADLJP

[@BioAI_Neuro @BioAI_Pharma]

Important read about virtual cells, biological simulations and future directions

[@BioAI_Neuro @BioAI_Pharma]

Important read about virtual cells, biological simulations and future directions

[nature @Nature]

Simulations of biological systems could transform biomedical research, but researchers are still learning how to reproduce life’s complexity without drowning in data.

https://t.co/7oA2twEtAk

[Bo Wang @BoWang87]

Our workshop of Foundation models for medical vision at CVPR 2026 is happening on June 3rd!

Four keynotes spanning oncology, pathology, virtual patients, and agentic systems, plus challenge winners breaking down their solutions.

If you're at CVPR, this is the room to be in 🔥

[@BioAI_Neuro @BioAI_Pharma]

Peripheral control enabled by distributed sensing in an octopus-inspired soft robotic arm for autonomous underwater grasping | Nature Machine Intelligence https://t.co/qozreQNSYs

[@BioAI_Neuro @BioAI_Pharma]

Immunotherapy drug target identification using machine learning and patient-derived tumour explant validation | Nature Machine Intelligence https://t.co/879De0ulwh

[@BioAI_Neuro @BioAI_Pharma]

A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data | Nature Machine Intelligence https://t.co/7XejjdB67w

[@BioAI_Neuro @BioAI_Pharma]

Single-molecule localization and diffusivity microscopy reveals dynamic biomolecular organization in living cells | Nature Methods https://t.co/QoOHuMeV9v

[@BioAI_Neuro @BioAI_Pharma]

Unsupervised transfer learning enables multi-animal tracking without training annotation | Nature Methods https://t.co/SHCxBS0lDJ

[@BioAI_Neuro @BioAI_Pharma]

$${\bf{Micro}}{{\mathbb{S}}}{\bf{plit}}$$ : semantic unmixing of fluorescent microscopy data | Nature Methods https://t.co/r8JfuP6RBy

[@BioAI_Neuro @BioAI_Pharma]

Mitochondria-lysosome coupling contributes to lysosome acidification and aging
https://t.co/XizXIP1isv
#Mitochondria #Longevity #lysosome #aging

[Temi @dextrodexter]

Today, we’re excited to launch Attention Labs.

For almost 400,000 years, humanity has progressed through a simple but powerful cycle: we learn, we build, and we pass knowledge forward. Every major leap in civilization, from fire to medicine to computing, has expanded what humans are capable of achieving.

We believe AI is the next great tool in that journey.

While much of the world is focused on how AI can replace human work, we are focused on a different question: How can AI amplify human potential?

At Attention Labs, we are building AI to discover brain-enhancing therapeutics, solve neurocognitive diseases, and accelerate the discovery of medicines for the human mind. We believe the greatest opportunity for AI is not creating a world with fewer humans in the loop, but a world where every human can think more clearly, learn faster, create more boldly, and live more fully.

The biggest source of alpha in the age of AI will not come from replacing people. It will come from empowering them.

Our mission is simple:

Make humans the most intelligent entity on Earth.

The future belongs to those who amplify human intelligence, not those who seek to replace it.

We're just getting started.

Attention Labs

https://t.co/3YnJkue1Se

[@BioAI_Neuro @BioAI_Pharma]

@_odedf @Ronalfa @claudeai Cool stuff !