Here's the new @Nature paper, the first time spatial omics was used to save lives https://
nature.com/articles/s4158
6-024-08061-0
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@erictopol
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Spatial Omics Breakthrough Saves Lives Using AI Technology
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Deep Visual Proteomics Breakthrough Advances Biomedical Research
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This breakthrough was an outgrowth of deep visual proteomics, pioneered by @labs_mann
, with the main steps graphically outlined below https://
nature.com/articles/s4158
7-022-01302-5
… @NatureBiotech @MundAndreas @MPI_Biochem -
AI-Powered Spatial Medicine Revolutionizes Disease Detection and Treatment
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What if you could use #AI to find and accurately excise the culprit cells, quantify >5,000 proteins in each, and find a cure for a life-threatening disease that has no effective treatment?
— Eric Topol (@EricTopol) 27 octobre 2024
That's the beginning of spatial medicine, a momentous medical advance.
In the new Ground… pic.twitter.com/RSgVAY5VvOWhat if you could use #AI to find and accurately excise the culprit cells, quantify >5,000 proteins in each, and find a cure for a life-threatening disease that has no effective treatment?
That's the beginning of spatial medicine, a momentous medical advance.
In the new Ground -
CRISPR genome editing revolutionizes cancer research and intervention strategies
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The impact of CRISPR genome editing transcends potential cures. It's changing our understanding of what drives cancer and new ways to intervene @ScienceMagazine by @KomorLab and colleagues https://
science.org/doi/10.1126/sc
ience.adi6884
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RNA Editing Advances Show Promise Over DNA-Based Genome Therapies
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Genome editing has centered around DNA, with over 40 ongoing clinical trials and 2 FDA approvals. But RNA editing has some key advantages and appears to be taking off. An open-access review @ScienceMagazine https://
science.org/content/articl
e/buoyed-milestone-clinical-result-rna-editing-poised-treat-diseases
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AI Integration in Primary Care: Realistic Assessment versus Standard
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In context of the dearth of primary care physicians and serious problems with access, a realistic appraisal for how incorporating #AI in medicine should be compared to standard of care https://
nejm.org/doi/full/10.10
56/NEJMp2404691
… @NEJM @zakkohane -
LLMs’ Adverse Impact on Electronic Health Records Concerns
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Concerns about the potential adverse impact of LLMs on electronic health records @NEJM today, by @LiamGMcCoy @arjunmanrai @AdamRodmanMD https://
nejm.org/doi/full/10.10
56/NEJMp2405999
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Stem cell transplants show no increased cancer mutation risk decades later
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Reassuring: decades after stem cell transplants, no indication of increase in cancer related gene mutations https://
science.org/doi/10.1126/sc
itranslmed.ado5108
… @ScienceTM https://
nature.com/articles/d4158
6-024-03450-x
… @Nature -
Proteomics reveals non-linear aging patterns through blood protein analysis
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Two proteomic studies have found peaks of plasma proteins at different ages, which suggests that the aging process is non-linear
Links and details https://
erictopol.substack.com/p/what-can-110
00-proteins-in-our-blood
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Blood Proteins Reveal Aging and Disease Patterns Through AI
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Thousands of proteins in our blood are illuminating our pace of individual organ and body-wide biological aging, the impact of diet and lifestyle, and enabling discovery of novel cause and effect for diseases.
Reviewed in the new Ground Truths
(link in my profile, d/t