Digitization of Symbol-Denoted Blood Pressure Data From Intraoperative Paper Health Records in a Low-Middle-Income Country Using Deep Image Segmentation and Associated Postoperative Outcomes: A Feasibility Study

Autor: Christian, Ndaribitse, Marcel E, Durieux, William, Adorno, Donald E, Brown, Siny, Tsang, Bhiken I, Naik

Publikováno v: Anesthesia & Analgesia. 136:753-760

In low-middle-income countries (LMICs), perioperative clinical information is almost universally collected on paper health records (PHRs). The lack of accessible digital databases limits LMICs in leveraging data to predict and improve patient outcome

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb3a50dfeea4041648ee9af566903a6e
https://doi.org/10.1213/ane.0000000000006176

Distance from Healthcare Facilities Is Associated with Increased Morbidity of Acute Infection in Pediatric Patients in Matiari, Pakistan

Autor: Sana Syed, William Adorno, Sean R. Moore, Elise Corden, Aman Shrivastava, Syed Asad Ali, Saman Hasan Siddiqui, Yash Sharma, Fatima Zulqarnain, Sheraz Ahmed, Najeeb Rahman, Muhammad Faraz Raghib, Fayaz Umrani, Najeeha Talat Iqbal, Lubaina Ehsan, Rafey Ali

Publikováno v: International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 11691, p 11691 (2021)
Volume 18
Issue 21

The relationship between environmental factors and child health is not well understood in rural Pakistan. This study characterized the environmental factors related to the morbidity of acute respiratory infections (ARIs), diarrhea, and growth using g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82099ebc4d4a49d30a4bbaa96a371aad
http://europepmc.org/articles/PMC8583418

Machine Learning Predictive Outcomes Modeling in Inflammatory Bowel Diseases

Autor: Aamir Javaid, Sana Syed, Philip Fernandes, Omer Shahab, William Adorno, Eve May

Publikováno v: Inflamm Bowel Dis

There is a rising interest in use of big data approaches to personalize treatment of inflammatory bowel diseases (IBDs) and to predict and prevent outcomes such as disease flares and therapeutic nonresponse. Machine learning (ML) provides an avenue t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b54212542ee5157ed1f29a28ba78dcb9
https://europepmc.org/articles/PMC9165557/

DEEP LEARNING TISSUE ANALYSIS DIAGNOSES AND PREDICTS TREATMENT RESPONSE IN EOSINOPHILIC ESOPHAGITIS

Autor: Alexis Catalano, Barrett H. Barnes, Philip Fernandes, Shyam S. Raghavan, Donald E. Brown, William Adorno, Aamir Javaid, Lubaina Ehsan, Sana Syed, Margaret H. Collins, Marium N. Khan, Chris Moskaluk, Rothenberg Me, Vizthum von Eckstaedt H, Emily C. McGowan

BackgroundEosinophilic Esophagitis (EoE) is a chronic inflammatory condition diagnosed by ≥15 eosinophils (Eos) per high-power field (HPF). There is no gold standard for clinical remission and Eo-associated metrics are poorly correlated with sympto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ddb254b71603c1f51341b74394f26c9
https://doi.org/10.1101/2021.06.10.21258624

Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image Analytics

Autor: William Adorno, Jocelyn A. Silvester, Sana Syed, Christopher A. Moskaluk, Donald E. Brown, Rasoul Sali, Mark D. DeBoer, Lin Cheng, Lubaina Ehsan, Sean R. Moore, Patcharin Pramoonjago, Marium Mateen Khan, Kamran Kowsari, Shyam S. Raghavan, Alexis Catalano

ObjectiveDevelop a deep learning-based methodology using the foundations of systems pathology to generate highly accurate predictive tools for complex gastrointestinal diseases, using celiac disease (CD) as a prototype.DesignTo predict the severity o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24065b5a12778f47e3b412b879a63875
https://doi.org/10.1101/2021.01.20.21250194