Evidence map›Paper›PMID 42180333›Full record

ArticlemedRxiv : the preprint server for health sciences2026

A Multimodal Framework for Organ- and Cell-Resolved Biological Aging and Longevity Intervention Discovery.

Saleem A Al Dajani, John R Williams, Matias Fuentealba, Ting Zhai, David Furman, Michael P Snyder, Omar O Abudayyeh, Jonathan S Gootenberg, Vadim N Gladyshev

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Saleem A Al DajaniDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-4116-6616
John R WilliamsDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-3826-2204
Matias FuentealbaBuck AI Platform, Buck Institute for Research on Aging, Novato, CA, USA.ORCID 0000-0001-7353-4394
Ting ZhaiDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8763-1387
David FurmanBuck AI Platform, Buck Institute for Research on Aging, Novato, CA, USA.ORCID 0000-0002-3654-9519
Michael P SnyderDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0003-0784-7987
Omar O AbudayyehBrigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7979-3220
Jonathan S GootenbergBeth Israel Deaconess Medical Center, Beth Israel Lahey Health, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2757-2175
Vadim N GladyshevBrigham and Women's Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-0372-7016

Funding

Discovery and manipulation of transcription factors to restore long term stem cell repopulation in aged bone-marrowR01AG074932 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Omar O Abudayyeh, Jonathan Samuel Gootenberg · 2022 to 2026
$3.3M
Programmable gene integration and cell engineering with CRISPR-directed integrasesR01EB031957 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ABUDAYYEH, OMAR O, GOOTENBERG, JONATHAN SAMUEL · 2021 to 2024
$2.4M
Developing programmable RNA writing tools with the novel RNA-guided RNA-targeting CRISPR effector Cas7-11R01GM148745 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Omar O Abudayyeh, Jonathan Samuel Gootenberg · 2023 to 2026
$1.9M
NIA NIH HHS R01 AG074932NIBIB NIH HHS R01 EB031957NIGMS NIH HHS R01 GM148745
6 · The paper itself

Abstract

Aging is the primary driver of chronic disease and mortality, requiring comprehensive frameworks for quantification of aging and nomination of longevity interventions. We developed mAge (multimodal age), a biological aging framework that integrates plasma proteomics, wearables, and mortality hazard to predict biological age, intrinsic capacity, and mortality risk. By combining proteomic and wearable data in UK Biobank samples, mAge exceeds unimodal baseline age prediction to 0.87 test R

Identifiers

PMID42180333
PMCPMC13193044

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.