|   |
| Research Topics: |
| INDEX |
| AI-chat 1 |
| PRIME 37 |
| aging 12 |
| body 2 |
| brain 17 |
| brainwave 3 |
| cancer 7 |
| climate 3 |
| cognition 10 |
| covid-19 6 |
| crime 3 |
| culture 3 |
| diabetes 6 |
| diagnostics 2 |
| disease 3 |
| drugs 1 |
| energy 1 |
| exercise 3 |
| eyes 1 |
| genetics 12 |
| gut 3 |
| heart 15 |
| immune 8 |
| kidneys 5 |
| language 2 |
| metabolism 2 |
| microbiome 2 |
| nutrition 11 |
| obesity 2 |
| physical 2 |
| politics 2 |
| pollution 2 |
| population 2 |
| practice 2 |
| privacy 2 |
| psychology 14 |
| quantum 1 |
| reproduction 2 |
| rights 1 |
| sleep 2 |
| space 1 |
| tech 2 |
| unk |
| vaccine 2 |
| virus 2 |
| war-confl |
| war-cyber 1 |
|
Scanned: 3012 Evaluated: 322 Selected: 92 |
| PRIME   DISEASE   POPULATION   PRACTICE | ||||||||
Mep32-015 | A clinical care intensity atlas of 505 diseases from 90 million people | |||||||
| Quote: | To our knowledge, this is the first whole-phenome care-intensity atlas built by one uniform rule. Because the score counts only delivered care, it under-captures a burden that is experienced but never coded, most severely in mental illness. We release the complete atlas with this paper, all 505 disease scores with confidence intervals, and the external crosswalks that anchor them. | |||||||
| Comment: | Interesting charts. Care intensity varies across the USA, lowin the northern Midwest, high along the East Coast. | |||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.08.10.26360114v1 | |||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.08.10.26360114v1.full-text | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Benjamin Kramer Andrey Rzhetsky, | |||||||
| CANCER   PRACTICE | ||||||||
Mga32-014 | Genetic prediction of colorectal cancer risk in six major ancestries provides insights to streamline practice screening guidelines. | |||||||
| Quote: | What this study adds - The PRS identified the top 10 of individuals with 5-fold higher CRC risk and developed CRC 15 years earlier than the average, and improved the prediction of early-onset CRC by 9. - Individuals in the top 10 PRS (high genetic risk) with no family history of CRC had the same risk as those with at least three first degree relatives with CRC diagnosed at any age. | |||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.08.10.26360074v1 | |||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.08.10.26360074v1.full-text | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Abishna Parasuraman Amanda Wei-Yin Lim Rawaa Eltayib Nirmala Pandeya Catherine M Olsen Graham Radford-Smith David C. Whiteman Stuart MacGregor Mathias Seviiri, | |||||||
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Javilk's Research Links Newsletter for Week 32 Updated 08/15/2026-01:24:35 AM What interests you? What have you found? Tell me! Drop me a note to subscribe or submit something. |