Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Anzar, Abbas"'
We re-examined data from the classic Luria-Delbruck fluctuation experiment, which is often credited with establishing a Darwinian basis for evolution. We argue that, for the Lamarckian model of evolution to be ruled out by the experiment, the experim
Externí odkaz:
http://arxiv.org/abs/1701.05627
Autor:
Anzar Abbas, Vijay Yadav, Emma Smith, Elizabeth Ramjas, Sarah B. Rutter, Caridad Benavidez, Vidya Koesmahargyo, Li Zhang, Lei Guan, Paul Rosenfield, Mercedes Perez-Rodriguez, Isaac R. Galatzer-Levy
Publikováno v:
Digital Biomarkers, Vol 5, Iss 1, Pp 29-36 (2021)
Introduction: Motor abnormalities have been shown to be a distinct component of schizophrenia symptomatology. However, objective and scalable methods for assessment of motor functioning in schizophrenia are lacking. Advancements in machine learning-b
Externí odkaz:
https://doaj.org/article/000cc142ffca48208e218b09839f31f9
Autor:
Anzar Abbas, Bryan J Hansen, Vidya Koesmahargyo, Vijay Yadav, Paul J Rosenfield, Omkar Patil, Marissa F Dockendorf, Matthew Moyer, Lisa A Shipley, M Mercedez Perez-Rodriguez, Isaac R Galatzer-Levy
Publikováno v:
JMIR Formative Research, Vol 6, Iss 1, p e26276 (2022)
BackgroundMachine learning–based facial and vocal measurements have demonstrated relationships with schizophrenia diagnosis and severity. Demonstrating utility and validity of remote and automated assessments conducted outside of controlled experim
Externí odkaz:
https://doaj.org/article/3121097e50374e5ea7adf31f2faabf76
Autor:
Anzar Abbas, Colin Sauder, Vijay Yadav, Vidya Koesmahargyo, Allison Aghjayan, Serena Marecki, Miriam Evans, Isaac R. Galatzer-Levy
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Objectives: Multiple machine learning-based visual and auditory digital markers have demonstrated associations between major depressive disorder (MDD) status and severity. The current study examines if such measurements can quantify response to antid
Externí odkaz:
https://doaj.org/article/c329bab12b694f0f8bc874cfb2db047e
Publikováno v:
NeuroImage: Clinical, Vol 21, Iss , Pp - (2019)
Individuals with attention-deficit/hyperactivity disorder have disrupted functional connectivity in the default mode and task positive networks. Traditional fMRI analysis techniques that focus on ‘static’ changes in functional connectivity have b
Externí odkaz:
https://doaj.org/article/b437bbac325845d596174eb53efe043b
Publikováno v:
Journal of Parkinson's Disease
Medication non-adherence during clinical trials is an ongoing challenge that can result in insufficient safety and efficacy data. For patients with Parkinson’s disease and other neurological disorders, symptomatology such as forgetfulness compounds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f6f1a4fa9d79bbe20599a8e18ed23c4
http://europepmc.org/articles/PMC8385508
http://europepmc.org/articles/PMC8385508
Publikováno v:
Psychiatric Annals. 51:14-20
Digital health technologies are advancing characterization of mental health and functioning using objective, sensitive, and scalable tools for measurement of disease. These efforts directly address well-documented issues with traditional clinical ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b5bfa45d222e4c2042550d67ec9ac1
https://doi.org/10.3928/00485713-20201207-01
https://doi.org/10.3928/00485713-20201207-01
Autor:
Anzar Abbas, Shalini Ahuja, Michael Van Ameringen, Gerhard Andersson, Ole A. Andreassen, Jason Bantjes, Joël Billieux, Sydney B. Clark, Beáta Bőthe, Matthias Brand, Valentina Caricasole, Lior Carmi, Samuel R. Chamberlain, Samantha L. Connolly, Allison Crawford, Vasa Curcin, Giselle Day, Philippe Delespaul, Paul H. Delfabbro, Anthony H. Ecker, Fernando Fernández-Aranda, Luwishennadige M.N. Fernando, Naomi A. Fineberg, Christopher A. Flessner, Oleksandr Frei, Johannes Fuss, Isaac R. Galatzer-Levy, Theresa R. Gladstone, Gabrielle F. Gloston, Pattie P. Gonsalves, Jon E. Grant, Anna Hartford, Donald Hilty, Guy Hindley, Julianna B. Hogan, Kevin Ing, Thomas R. Insel, Konstantinos Ioannidis, Madeleine L. Jarrett, Susana Jiménez-Murcia, Anthony Jorm, Daniel L. King, Taishiro Kishimoto, Ashley A. Lahoud, Jan A. Lindsay, Christine Lochner, John Luo, Gemma Mestre-Bach, Kai Mueller, John A. Naslund, Jim van Os, Beth Patterson, Marc N. Potenza, Nicola Reavley, Katharina Schultebraucks, Jay H. Shore, Saher Siddiqui, Philip Slabbert, Olav B. Smeland, Dan J. Stein, John Strauss, John Torous, Miguel A. Vadillo, Alberto Varinelli, Simone Verhagen, Matteo Vismara, Elisa Wegmann, Akkapon Wongkoblap, Jasmine Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ee26f10519bbe16bf29198117887ed
https://doi.org/10.1016/b978-0-12-822201-0.09991-3
https://doi.org/10.1016/b978-0-12-822201-0.09991-3
Autor:
Isaac R. Galatzer-Levy, Erich Seifritz, Anja Ries, Stefan Vetter, Vidya Koesmahargyo, Michael Colla, Anzar Abbas, Stephanie Homan, Vijay Kumar Yadav, Laura Sels, Hanne Scheerer, Urte Scholz, Birgit Kleim
Publikováno v:
Journal of Medical Internet Research
JOURNAL OF MEDICAL INTERNET RESEARCH
Journal of Medical Internet Research, Vol 23, Iss 6, p e25199 (2021)
JOURNAL OF MEDICAL INTERNET RESEARCH
Journal of Medical Internet Research, Vol 23, Iss 6, p e25199 (2021)
Background Multiple symptoms of suicide risk have been assessed based on visual and auditory information, including flattened affect, reduced movement, and slowed speech. Objective quantification of such symptomatology from novel data sources can inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4a5c38342fd573e02d0e9f1557120cd
https://www.zora.uzh.ch/id/eprint/216724/
https://www.zora.uzh.ch/id/eprint/216724/