Deep learning in Neuroscience & Aging @LongevityPapers
Discover the latest in neuroscience, aging, & deep learning! Our weekly roundup features summaries of impactful research papers #Aging, #Deep_learning, #Neuro United States Joined April 2023-
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Human skeletal muscle aging atlas nature.com/articles/s4358… @NatureAging
For scientists who identify as disabled or neurodivergent, or for whom English is a second language, artificial intelligence tools can help to overcome professional hurdles that disproportionately affect marginalized members of the academic community go.nature.com/3xlAO0c
Gene trajectory inference for single-cell data by optimal transport metrics nature.com/articles/s4158… @NatureBiotech
Spatial proteomics in neurons at single-protein resolution sciencedirect.com/science/articl… @CellCellPress
Working on ML for Drug Discovery I have been frustrated with the size and/or quality of publicly available datasets to train and benchmark models with, so when my co-founder and I started our company we swore we would open-source some data as quickly as possible.
Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis nature.com/articles/s4159… @naturemethods
A single-nuclei paired multiomic analysis of the human midbrain reveals age- and Parkinson’s disease–associated glial changes nature.com/articles/s4358… @NatureAging
New data released by the U.S. National Science Foundation underscore concerns that the academic community is facing a postdoc shortage and that early-career scientists are increasingly favoring higher paid positions outside academia. @ScienceCareers scim.ag/6nW
Machine learning predicts lifespan and underlying causes of death in aging C. elegans biorxiv.org/content/10.110…
AI Identifies Risk of Developing Diseases Decades in Advance🧠💡 A game-changer in preventive healthcare! #AI #HealthTech" Here is the study: nature.com/articles/s4174… @npjDigitalMed
How AI is being used to accelerate clinical trials nature.com/articles/d4158…
Attention Aging Biologist and enthusiast---- Venki Ramakrishnan, Nobel-winning biologist's new book on Aging is final available to read--- Why We Die: The new science of ageing and the quest for immortality. Seems like a fascinating book to read soon! hodder.co.uk/titles/venki-r…
Venki Ramakrishnan, Nobel-winning biologist on the most promising ways to stop ageing newscientist.com/article/mg2613… #Stop_aging, #new_Scientist
A Blueprint for Breakthroughs: Our latest piece on DeSci <> AI where we deep dive into how this ultimate collab will revolutionise the entire medical industry. Here's a guide to how it's gonna play out 👇
IMPROVING ALPHAFOLD2 PERFORMANCE WITH A GLOBAL METAGENOMIC & BIOLOGICAL DATA SUPPLY CHAIN biorxiv.org/content/10.110… #Alphafold, #Deep_learning_models, #3D_ProteinStructure,#Complex_Protein_Structures
Identification of four biotypes in temporal lobe epilepsy via machine learning on brain images nature.com/articles/s4146…
Mitochondrial complex I activity in microglia sustains neuroinflammation nature.com/articles/s4158…
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1K Followers 1K Following Health🍀Longevity🍀Life extension🍀Progress Subscribe my You Tube channel👇
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216 Followers 407 Following Mostly a computer scientist and biomedical engineer. #ai #bioengineering #music #biogerontology
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@KKajderowicz Sounds vague! It appears that some individuals harbor a misconception that the complexities of the human brain and phenomena like aging can be simplified to mere software and code, driven by a desire for quick financial gain by spinning out companies to get rich quickly
@LongevityPapers Those datasets have uses and challenges, but are insufficient for the problem I am focused on: 'Will molecule X bind to protein Y?'
The key bottleneck is accumulating enough representative training data for AI to learn from. We will need billions or even trillions of data points. This major challenge will take years to collect enough data.
@LongevityPapers @CorettaI3918 This is a commendable effort, and calculating binding free energy fixes some of the problems of x-ray crystal data, but it is still only 5k labels. It's not a perfect analogy, but GPT3 required 300B tokens.
@CorettaI3918 @LongevityPapers That's great, there is a lot of good data on pdb, but 100k is still pretty small for ML. I'd encourage you to try pretraining on pdb and testing yourself on our dataset and vice versa.
3. are too small to be really useful for ML Pat Walters goes into more detail here practicalcheminformatics.blogspot.com/2023/08/we-nee…
@LongevityPapers 2. are cobbled together from many labs and many different kinds of assays, with significant batch effects and publication bias
@LongevityPapers That is very much not the case. Datasets either: 1. are generated from calculated or simulated properties, which are not very interesting and carry bias from the simulation process
Working on ML for Drug Discovery I have been frustrated with the size and/or quality of publicly available datasets to train and benchmark models with, so when my co-founder and I started our company we swore we would open-source some data as quickly as possible.
We have a fiery cover by the authors of A role for the cerebellum in motor-triggered alleviation of anxiety. Read the paper and its preview The cerebellum tells the amygdala, “Nothing diminishes anxiety faster than action” in our latest issue: cell.com/neuron/current
@kapahi_pankaj @LongevityPapers I’ve just heard of/witnessed so many instances of postdocs being exploited by top scientist mentors (even at my own institution) that I’m wary of seemingly extraneous requests. I do wish there was greater protection for postdocs from bad actors in this process though.
@LongevityPapers @kapahi_pankaj I talked to colleagues who did preclinical work & I suppose a 1 page proposal is somewhat standard if the applicant is smart enough to know to make it bare bones & not their very best idea. So I can walk back a bit of the aggression 😬
@LongevityPapers @kapahi_pankaj I mean, the effort reflects the level of compensation. No need to try to garner support on social media for someone not engaging in an exploitative practice 🤷🏻♀️
Finding housing in NYC on my stipend is impossible and as much as I love my research and my school; I feel like I’ve been done a disservice when considering how much more other PhD students AT THE SAME UNIVERSITY make 😭💔 I either can’t afford it, don’t qualify, or it’s a scam.
@LongevityPapers @kapahi_pankaj It’s exploitative mining of research ideas from vulnerable postdocs who need a job. If someone’s getting paid, they need to cut the check too.
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