Quantitative estimate of cognitive resilience and its medical and genetic associations

Authors: Thanaphong Phongpreecha, Dana Godrich, Eloise Berson, Camilo Espinosa, Yeasul Kim, Brenna Cholerton, Alan L. Chang, Samson Mataraso, Syed A. Bukhari, Amalia Perna, Koya Yakabi, Kathleen S. Montine, Kathleen L. Poston, Elizabeth Mormino, Lon White, Gary Beecham, Nima Aghaeepour, Thomas J. Montine

Source: Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-12 (2023)

Subject Terms: Cognitive reserve, Compensation, Alzheimer’s disease, Dementia, Neuropathologic lesions, Ageing, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://doaj.org/toc/1758-9193

Access URL: https://doaj.org/article/3e8f258973304acfa004fd1140c9ced5

Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends

Authors: Marc Ghanem, Camilo Espinosa, Philip Chung, Momsen Reincke, Natasha Harrison, Thanaphong Phongpreecha, Sayane Shome, Geetha Saarunya, Eloise Berson, Tomin James, Feng Xie, Chi-Hung Shu, Debapriya Hazra, Samson Mataraso, Yeasul Kim, David Seong, Dipro Chakraborty, Manuel Studer, Lei Xue, Ivana Marić, Alan L. Chang, Erico Tjoa, Brice Gaudillière, Vivianne L. Tawfik, Sean Mackey, Nima Aghaeepour

Source: Heliyon, Vol 10, Iss 7, Pp e29050- (2024)

Subject Terms: Anesthesiology research trends, Topic modeling, Pillar topics, Trending subtopics, NIH-funded research, Artificial intelligence, Science (General), Q1-390, Social sciences (General), H1-99

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024050813; https://doaj.org/toc/2405-8440

Access URL: https://doaj.org/article/25f3a325374d4296a886eabace493252

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

Authors: Neal G. Ravindra, Camilo Espinosa, Eloïse Berson, Thanaphong Phongpreecha, Peinan Zhao, Martin Becker, Alan L. Chang, Sayane Shome, Ivana Marić, Davide De Francesco, Samson Mataraso, Geetha Saarunya, Melan Thuraiappah, Lei Xue, Brice Gaudillière, Martin S. Angst, Gary M. Shaw, Erik D. Herzog, David K. Stevenson, Sarah K. England, Nima Aghaeepour

Source: npj Digital Medicine, Vol 6, Iss 1, Pp 1-16 (2023)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://doaj.org/toc/2398-6352

Access URL: https://doaj.org/article/05646d15d14e4a168c26939cdb678d79

Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature

Authors: Eloise Berson, Anjali Sreenivas, Thanaphong Phongpreecha, Amalia Perna, Fiorella C. Grandi, Lei Xue, Neal G. Ravindra, Neelufar Payrovnaziri, Samson Mataraso, Yeasul Kim, Camilo Espinosa, Alan L. Chang, Martin Becker, Kathleen S. Montine, Edward J. Fox, Howard Y. Chang, M. Ryan Corces, Nima Aghaeepour, Thomas J. Montine

Source: Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2041-1723

Access URL: https://doaj.org/article/05827f0fc6bd405d8f51032b99aead11

Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

Authors: Martin Becker, Jennifer Dai, Alan L. Chang, Dorien Feyaerts, Ina A. Stelzer, Miao Zhang, Eloise Berson, Geetha Saarunya, Davide De Francesco, Camilo Espinosa, Yeasul Kim, Ivana Marić, Samson Mataraso, Seyedeh Neelufar Payrovnaziri, Thanaphong Phongpreecha, Neal G. Ravindra, Sayane Shome, Yuqi Tan, Melan Thuraiappah, Lei Xue, Jonathan A. Mayo, Cecele C. Quaintance, Ana Laborde, Lucy S. King, Firdaus S. Dhabhar, Ian H. Gotlib, Ronald J. Wong, Martin S. Angst, Gary M. Shaw, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour

Source: Frontiers in Pediatrics, Vol 10 (2022)

Subject Terms: adverse pregnancy outcomes (APO), psychosocial and stress-related factors, prediction, multitask machine learning, immune states, single-cell, Pediatrics, RJ1-570

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fped.2022.933266/full; https://doaj.org/toc/2296-2360

Access URL: https://doaj.org/article/7ef5e41055684bbd98e9640263a66425

Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm

Authors: Jenish Maharjan, Yasha Ektefaie, Logan Ryan, Samson Mataraso, Gina Barnes, Sepideh Shokouhi, Abigail Green-Saxena, Jacob Calvert, Qingqing Mao, Ritankar Das

Source: Frontiers in Neurology, Vol 12 (2022)

Subject Terms: anticoagulant therapy, machine learning, artificial intelligence, clinical trial, stroke prediction, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fneur.2021.784250/full; https://doaj.org/toc/1664-2295

Access URL: https://doaj.org/article/cd082d3068cb43f6b5912879684d125f

Predicting pulmonary embolism among hospitalized patients with machine learning algorithms

Authors: Logan Ryan, Jenish Maharjan, Samson Mataraso, Gina Barnes, Jana Hoffman, Qingqing Mao, Jacob Calvert, Ritankar Das

Source: Pulmonary Circulation, Vol 12, Iss 1, Pp n/a-n/a (2022)

Subject Terms: anticoagulants, artificial intelligence, clinical, decision support systems, thrombosis, Diseases of the circulatory (Cardiovascular) system, RC666-701, Diseases of the respiratory system, RC705-779

File Description: electronic resource

Relation: https://doaj.org/toc/2045-8940

Access URL: https://doaj.org/article/ee46866c4d0b4f38895334ed9f9f41e7

A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients

Authors: Logan Ryan BS, Samson Mataraso BS, Anna Siefkas SM, Emily Pellegrini MEng, Gina Barnes MPH, Abigail Green-Saxena PhD, Jana Hoffman PhD, Jacob Calvert MSc, Ritankar Das MSc

Source: Clinical and Applied Thrombosis/Hemostasis, Vol 27 (2021)

Subject Terms: Diseases of the circulatory (Cardiovascular) system, RC666-701

File Description: electronic resource

Relation: https://doaj.org/toc/1938-2723

Access URL: https://doaj.org/article/8db98f4eaf144840ba43067813e38ad1

COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients.

Authors: Mark Stewart, Carla Rodriguez-Watson, Adem Albayrak, Julius Asubonteng, Andrew Belli, Thomas Brown, Kelly Cho, Ritankar Das, Elizabeth Eldridge, Nicolle Gatto, Alice Gelman, Hanna Gerlovin, Stuart L Goldberg, Eric Hansen, Jonathan Hirsch, Yuk-Lam Ho, Andrew Ip, Monika Izano, Jason Jones, Amy C Justice, Reyna Klesh, Seth Kuranz, Carson Lam, Qingqing Mao, Samson Mataraso, Robertino Mera, Daniel C Posner, Jeremy A Rassen, Anna Siefkas, Andrew Schrag, Georgia Tourassi, Andrew Weckstein, Frank Wolf, Amar Bhat, Susan Winckler, Ellen V Sigal, Jeff Allen

Source: PLoS ONE, Vol 16, Iss 3, p e0248128 (2021)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0248128&type=printable; https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/54f31913ca1947ed9d201427eb11393b

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