Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
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
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 …
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
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 …
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 …
records for biomedical research. While early phenotyping relied on rule-based algorithms …
EMR2vec: Bridging the gap between patient data and clinical trial
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 …
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?
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 …
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
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 …
(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
Background With the increasing sophistication of the medical industry, various advanced
medical services such as medical artificial intelligence, telemedicine, and personalized …
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
Background: Clinical trials are a crucial element in advancing medical knowledge and
developing new treatments by establishing the evidence base for safety and therapeutic …
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 foundational component of digital health involves collecting and leveraging electronic
health data to improve health and wellbeing. One of the central technologies for collecting …
health data to improve health and wellbeing. One of the central technologies for collecting …