Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Joseph, Geraci"'
Publikováno v:
npj Mental Health Research, Vol 2, Iss 1, Pp 1-8 (2023)
Abstract Major depressive disorder (MDD) is a prevalent and debilitating psychiatric disease that leads to substantial loss of quality of life. There has been little progress in developing new MDD therapeutics due to a poor understanding of disease h
Externí odkaz:
https://doaj.org/article/68b5e548435a43c19d8191c1897a6f00
Autor:
Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, Joseph Geraci
Publikováno v:
Exploration of Medicine, Vol 4, Iss 4, Pp 428-440 (2023)
Aim: Many small datasets of significant value exist in the medical space that are being underutilized. Due to the heterogeneity of complex disorders found in oncology, systems capable of discovering patient subpopulations while elucidating etiologies
Externí odkaz:
https://doaj.org/article/dce635580c684506a07fbd6b5964fc05
Autor:
Joseph Geraci, Ravi Bhargava, Bessi Qorri, Paul Leonchyk, Douglas Cook, Moses Cook, Fanny Sie, Luca Pani
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2024)
IntroductionAdvances in machine learning (ML) methodologies, combined with multidisciplinary collaborations across biological and physical sciences, has the potential to propel drug discovery and development. Open Science fosters this collaboration b
Externí odkaz:
https://doaj.org/article/494d06c148a14fa2b70791f1ffcf836a
Publikováno v:
Technologies, Vol 11, Iss 6, p 183 (2023)
The field of computer vision has long grappled with the challenging task of image synthesis, which entails the creation of novel high-fidelity images. This task is underscored by the Generative Learning Trilemma, which posits that it is not possible
Externí odkaz:
https://doaj.org/article/71ddfd90a1404739b30c28ab7bff63d4
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
Nurosene's NURO app (nurosene.com) is an innovative smartphone application that gathers and analyzes active self-report metrics from users, empowering them with data-driven health machine intelligence. We present the data collected and analyzed from
Externí odkaz:
https://doaj.org/article/ea9230235a084c23a15c3e13fdc3ed52
Publikováno v:
Exploration of Medicine, Vol 1, Iss 6, Pp 377-395 (2020)
Aim: Research suggests that Alzheimer’s disease (AD) is heterogeneous with numerous subtypes. Through a proprietary interactive ML system, several underlying biological mechanisms associated with AD pathology were uncovered. This paper is an introd
Externí odkaz:
https://doaj.org/article/4d862ac3f15f4b30aacced54c6ff7bf5
Autor:
Joseph Geraci
Publikováno v:
Patterns, Vol 2, Iss 6, Pp 100281- (2021)
Machine learning has become a standard tool for medical researchers attempting to model disease in various ways, including building models to predict response to medications, classifying disease subtypes, and discovering new therapies. In this previe
Externí odkaz:
https://doaj.org/article/4e093b00a4eb42898e3d0287e142da6c
Autor:
Joseph Geraci
The Deaf-Mute Boy—equal parts travel story, love story, and a resonant confrontation with the Muslim world—is the tale of a gay American professor immersed in a North African society. Maurice Burke, an archaeologist, is invited to speak at a conf
Autor:
Joseph Geraci, Sarah R. Sullivan, Erin A. Hazlett, Marianne Goodman, Emily R. Edwards, D. R. Gina Sissoko, Molly Gromatsky
Publikováno v:
Psychological Services. 19:146-156
While preliminary evidence suggests an association between legal involvement and suicide risk among veterans, no research to date has explored the prevalence and/or correlates of legal involvement among veterans at high risk for suicide. The current
Publikováno v:
Psychological Services. 18:619-631
A substantial proportion of U.S. military veterans experience mental health and/or substance use disorders. As public awareness of these difficulties rises, so too does interest in the relation between veteran behavioral health and high-risk events,