Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Politics ahead of patients: The battle between medical and chiropractic professional associations over the inclusion of chiropractic in the American Medicare System

Health care professions struggling for legitimacy, recognition, and market share can become disoriented to their priorities. Health care practitioners are expected to put the interests of patients first. Professional associations represent the interests of their members. So when a professional association is composed of health care practitioners, its interests may differ from those of patients, creating a conflict for members. In addition, sometimes practitioners’ perspectives may be altered by indoctrination in a belief system, or misinformation, so that a practitioner could be confused about the reality of patient needs. Politicians, in attempting to find an expedient compromise, can value a “win” in the legislative arena over the effects of that legislation. These forces all figure into the events that led to the acceptance of chiropractic into the American Medicare system. Two health care systems in a political fight lost sight of their main purpose: to provide care to patients without doing harm. Dans leur recherche de légitimité, de reconnaissance et d’une juste part sur le marché de la santé, les professionnels de la santé peuvent perdre de vue leurs priorités. Ces praticiens doivent donner préséance aux intérêts des patients tandis que les associations professionnelles représentent ceux de leurs membres. Lorsqu’une association professionnelle regroupe des praticiens de la santé cependant, ses intérêts s’opposent parfois à ceux des patients, créant ainsi un conflit pour les membres. De plus, les praticiens peuvent être endoctrinés par un système de valeurs ou mal informés, au point de se tromper dans l’évaluation des besoins réels des patients. De leur côté, les politiciens peuvent préférer une « victoire » dans l’arène législative à une juste appréciation des impacts d’une loi. Ces forces ont toutes participé aux évènements qui ont mené à l’acceptation de la chiropraxie par le système américain Medicare. Dans cette bataille politique, deux systèmes de santé ont négligé leur principal objectif : soigner des patients sans leur nuire

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Caught in the crosshairs: Identity and cultural authority within chiropractic

In this paper the discourse over identity and cultural authority within the profession of chiropractic in the United States has been analyzed using critical discourse analysis. As the profession struggles to construct one singular image, versions of self must be internally debated and also shaped in consideration of larger, external forces. The dilemma of remaining tied to a marginal professional status must be balanced against considerations of integration. Written texts from chiropractic journals and newspapers are analyzed in a multidimensional approach that considers the rhetorical devices and thematic issues of identity construction; the representation of various voices within the discourse (both heard and unheard); and the extent to which external pressures affect the projection of cultural authority for the profession. A heterogeneous discourse characterized by conflict was found, with discrepancies between everyday chiropractors in actual practice versus academic chiropractors and leaders particularly over the idea, practice and significance of science for the profession.USA Chiropractic Identity Professionalization Cultural authority Critical discourse analysis Review