#1

We’ve just finished writing the missing 15,616 Wikipedia articles to get complete coverage of all 19,255 human genes. We used PaperQA2, which has higher accuracy than existing human-written wikipedia articles, as judged by blinded biology PhD students and postdocs.

https://wikicrow.ai/

These articles considered almost 1M research papers. We could rewrite all 19.3k articles every week, so they are always up to date. We could rewrite all articles about research on Wikipedia every three weeks.

A lot of effort in this work is finding relevant sources and evaluating their quality. This includes checking for retractions, predatory publishers, and citations. As the amount of science papers grow, evaluating source quality is a major challenge

This was a huge effort FutureHouse . Michael Skarlinski and Jon Laurent handled generation and eval of articles. Tyler Nadolski heroically did all webdesign, creating an awesome crow-based wiki. Sam Cox did the grueling job of finding a protein structure for almost every gene

You can read the preprint here: LinkedIn

The algorithm open source: LinkedIn

And a blog about how we engineered it: FutureHouse

Wikicrow: https://wikicrow.ai/

1 Like
#2

try these genes for longevity:

six out of seven causal genes were significantly associated with parental lifespan, three genes (MLXIP, PCNX2, and DYNC1H1) remain significant after corrected with multiple-testing with FDR. Analysis of age-related changes in promoter DNA methylation using data from 500 individuals in the Massachusetts General Brigham (MGB) biobank (Fig. 4c) revealed significant changes for most longevity-associated genes, except two (RGP1 and BCLAF1). Similarly, age-related changes in blood gene expression obtained from the transcriptome-wide association study (TWAS) for aging by Peters et al. (Fig. 4d) showed significant changes for genes such as OPN3, PCNX2, GALNT12, and RGP1 21. Furthermore, age-related changes in plasma protein levels using Olink data from 53,015 UK Biobank participants (Fig. 4e) revealed significant changes for proteins encoded by DYNC1H1 and FLT4 genes. The results suggest that the expression and regulation of these longevity-associated genes are altered during the aging process.

To gain further insights into the potential relevance of the identified longevity-associated genes in aging and interventions, we further compared their significance scores across different signatures of aging and longevity interventions (Fig. 4f)22,23. The signature analysis results in 69 significant associations after adjusting for multiple testing of 266 tests using FDR (Fig. 4f). It revealed that many of these genes (18 out of 21 tested) were also significantly associated with aging in humans and rodents, as well as with interventions known to extend lifespan, such as caloric restriction (ABCF3, CKAP2L, and CEP68), rapamycin treatment (PKP4, CTNND1, and RTRAF), growth hormone deficiency (HOGA1, ANKRD33, and MLXIP), as well as overall lifespan after intervention (HOGA1). Together, this multi-layered evidence supports the potential roles of these genes in regulating healthy aging and longevity

and these for intelligence:

1 Like
#3

They just released smg new: Has Anyone | FutureHouse

1 Like
#4

sample report on coffee: FutureHouse Platform (tho this report kind of sucks)

kind of related Mantis AI - Interactive Cognitive Cartography