A life-course approach to tackling noncommunicable diseases in women DOI
Cheryl Carcel, Sue Haupt, Clare Arnott

et al.

Nature Medicine, Journal Year: 2024, Volume and Issue: 30(1), P. 51 - 60

Published: Jan. 1, 2024

Language: Английский

Sex and gender: modifiers of health, disease, and medicine DOI Creative Commons
Franck Mauvais‐Jarvis, C. Noel Bairey Merz, Peter J. Barnes

et al.

The Lancet, Journal Year: 2020, Volume and Issue: 396(10250), P. 565 - 582

Published: Aug. 1, 2020

Clinicians can encounter sex and gender disparities in diagnostic therapeutic responses. These are noted epidemiology, pathophysiology, clinical manifestations, disease progression, response to treatment. This Review discusses the fundamental influences of as modifiers major causes death morbidity. We articulate how genetic, epigenetic, hormonal biological influence physiology disease, social constructs affect behaviour community, clinicians, patients health-care system interact with pathobiology. aim guide clinicians researchers consider their approach diagnosis, prevention, treatment diseases a necessary step towards precision medicine, which will benefit men's women's health.

Language: Английский

Citations

1476

Precision Medicine, AI, and the Future of Personalized Health Care DOI Creative Commons
Kevin B. Johnson,

Wei‐Qi Wei,

Dilhan Weeraratne

et al.

Clinical and Translational Science, Journal Year: 2020, Volume and Issue: 14(1), P. 86 - 93

Published: Sept. 22, 2020

The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision methods identify phenotypes patients with less‐common responses treatment or unique healthcare needs. AI leverages sophisticated computation inference generate insights, enables the system reason learn, empowers clinician decision making through augmented intelligence. Recent literature suggests that translational research exploring this will help solve most difficult challenges facing medicine, especially those in which nongenomic genomic determinants, combined information from patient symptoms, clinical history, lifestyles, facilitate personalized diagnosis prognostication.

Language: Английский

Citations

1015

Considering how biological sex impacts immune responses and COVID-19 outcomes DOI Creative Commons
Eileen P. Scully, Jenna Haverfield, Rebecca L. Ursin

et al.

Nature reviews. Immunology, Journal Year: 2020, Volume and Issue: 20(7), P. 442 - 447

Published: June 11, 2020

Language: Английский

Citations

891

Qualitative sex differences in pain processing: emerging evidence of a biased literature DOI
Jeffrey S. Mogil

Nature reviews. Neuroscience, Journal Year: 2020, Volume and Issue: 21(7), P. 353 - 365

Published: May 21, 2020

Language: Английский

Citations

525

Considering sex as a biological variable will require a global shift in science culture DOI
Rebecca M. Shansky, Anne Z. Murphy

Nature Neuroscience, Journal Year: 2021, Volume and Issue: 24(4), P. 457 - 464

Published: March 1, 2021

Language: Английский

Citations

356

Sex/Gender Differences in Obesity Prevalence, Comorbidities, and Treatment DOI

Ashley J. Cooper,

Sapana R. Gupta,

Afaf F. Moustafa

et al.

Current Obesity Reports, Journal Year: 2021, Volume and Issue: 10(4), P. 458 - 466

Published: Oct. 2, 2021

Language: Английский

Citations

323

Reproducibility of animal research in light of biological variation DOI
Bernhard Voelkl, Naomi Altman, Anders Forsman

et al.

Nature reviews. Neuroscience, Journal Year: 2020, Volume and Issue: 21(7), P. 384 - 393

Published: June 2, 2020

Language: Английский

Citations

299

Sex as a Biological Variable: A 5-Year Progress Report and Call to Action DOI Open Access

Matthew E. Arnegard,

Lori A. Whitten,

Chyren Hunter

et al.

Journal of Women s Health, Journal Year: 2020, Volume and Issue: 29(6), P. 858 - 864

Published: Jan. 23, 2020

A little over 5 years ago, the U.S. National Institutes of Health (NIH) announced intention to develop policies require applicants report plans balance male and female cells animals in preclinical investigations. Soon thereafter, NIH issued a request for information from scientific community consulted with various stakeholders. The feedback received was considered during development policy requiring consideration sex as biological variable (SABV) NIH-funded research on vertebrate humans, which went into effect applications due or after January 25, 2016. We identified programs related SABV reviewed SABV-relevant literature. find that application throughout process can serve guiding principle improve value biomedical science. is engaged ongoing efforts resources help investigators consider their research. also provide an update lessons learned, highlight ways different disciplines SABV, describe opportunities discovery applying offers. call NIH's stakeholders redouble integrate enterprise. Sex- gender-aware investigations are critical conduct rigorous transparent science advancement personalized medicine. This kind achieves its greatest potential when gender considerations integrated enterprise end-to-end manner, basic investigations, through translational clinical research, improved health care delivery.

Language: Английский

Citations

293

Advances, challenges and opportunities in creating data for trustworthy AI DOI
Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho

et al.

Nature Machine Intelligence, Journal Year: 2022, Volume and Issue: 4(8), P. 669 - 677

Published: Aug. 17, 2022

Language: Английский

Citations

290

A 10-year follow-up study of sex inclusion in the biological sciences DOI Creative Commons
Nicole C. Woitowich, Annaliese K. Beery, Teresa K. Woodruff

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: June 9, 2020

In 2016, to address the historical overrepresentation of male subjects in biomedical research, US National Institutes Health implemented a policy requiring investigators consider sex as biological variable. order assess impact this policy, we conducted bibliometric analysis across nine disciplines for papers published 34 journals 2019, and compared our results with those similar study carried out by Beery Zucker 2009. There was significant increase proportion studies that included both sexes all disciplines, but eight there no change data analyzed sex. The majority failed provide rationale single-sex or lack sex-based analyses, did relied on misconceptions surrounding hormonal variability females. Together, these demonstrate while sex-inclusive research practices are more commonplace, still gaps analyses reporting many disciplines.

Language: Английский

Citations

257