Multimodal data fusion for cancer biomarker discovery with deep learning

S Steyaert, M Pizurica, D Nagaraj… - Nature machine …, 2023 - nature.com
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

[HTML][HTML] Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries

S Xiong, H Lu, N Peoples, EK Duman, A Najarro… - NPJ Digital …, 2023 - nature.com
Current evidence on digital health interventions is disproportionately concerned with high-
income countries and hospital settings. This scoping review evaluates the extent of use and …

Differences in health professionals' engagement with electronic health records based on inpatient race and ethnicity

C Yan, X Zhang, Y Yang, K Kang, MC Were… - JAMA network …, 2023 - jamanetwork.com
Importance US health professionals devote a large amount of effort to engaging with
patients' electronic health records (EHRs) to deliver care. It is unknown whether patients with …

Machine learning approaches for electronic health records phenotyping: a methodical review

S Yang, P Varghese, E Stephenson… - Journal of the …, 2023 - academic.oup.com
Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health
records for biomedical research. While early phenotyping relied on rule-based algorithms …

EMR2vec: Bridging the gap between patient data and clinical trial

H Dhayne, R Kilany, R Haque, Y Taher - Computers & Industrial …, 2021 - Elsevier
The human suffering from diseases caused by life-threatening viruses such as SARS, Ebola,
and COVID-19 motivated many of us to study and discover the best means to harness the …

[HTML][HTML] Big Data in Laboratory Medicine—FAIR Quality for AI?

TU Blatter, H Witte, CT Nakas, AB Leichtle - Diagnostics, 2022 - mdpi.com
Laboratory medicine is a digital science. Every large hospital produces a wealth of data
each day—from simple numerical results from, eg, sodium measurements to highly complex …

Current use and costs of electronic health records for clinical trial research: a descriptive study

KA Mc Cord, H Ewald, A Ladanie, M Briel… - … Open Access Journal, 2019 - cmajopen.ca
Background: Electronic health records (EHRs) may support randomized controlled trials
(RCTs). We aimed to describe the current use and costs of EHRs in RCTs, with a focus on …

[HTML][HTML] Privacy Preservation in Patient Information Exchange Systems Based on Blockchain: System Design Study

S Lee, J Kim, Y Kwon, T Kim, S Cho - Journal of medical Internet research, 2022 - jmir.org
Background With the increasing sophistication of the medical industry, various advanced
medical services such as medical artificial intelligence, telemedicine, and personalized …

[HTML][HTML] The Roles of Electronic Health Records for Clinical Trials in Low-and Middle-Income Countries: Scoping Review

J Ye, S Xiong, T Wang, J Li, N Cheng… - JMIR Medical …, 2023 - medinform.jmir.org
Background: Clinical trials are a crucial element in advancing medical knowledge and
developing new treatments by establishing the evidence base for safety and therapeutic …

[HTML][HTML] Electronic health records that support health professional reflective practice: A missed opportunity in digital health

A Janssen, J Kay, S Talic, M Pusic… - Journal of Healthcare …, 2022 - Springer
A foundational component of digital health involves collecting and leveraging electronic
health data to improve health and wellbeing. One of the central technologies for collecting …