[HTML][HTML] Artificial intelligence and early detection of pancreatic cancer: 2020 summative review
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …
Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification
Complex diseases are caused by a combination of genetic, lifestyle, and environmental
factors and comprise common noncommunicable diseases, including allergies …
factors and comprise common noncommunicable diseases, including allergies …
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes,
indicating a pronounced need for early detection. In this study, we applied artificial …
indicating a pronounced need for early detection. In this study, we applied artificial …
Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource
Objective To describe a novel England-wide electronic health record (EHR) resource
enabling whole population research on covid-19 and cardiovascular disease while ensuring …
enabling whole population research on covid-19 and cardiovascular disease while ensuring …
Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study
Background Globally, there is a paucity of multimorbidity and comorbidity data, especially for
minority ethnic groups and younger people. We estimated the frequency of common disease …
minority ethnic groups and younger people. We estimated the frequency of common disease …
[HTML][HTML] COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
JH Thygesen, C Tomlinson, S Hollings… - The Lancet Digital …, 2022 - thelancet.com
Background Updatable estimates of COVID-19 onset, progression, and trajectories underpin
pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to …
pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to …
The promise of digital healthcare technologies
Digital health technologies have been in use for many years in a wide spectrum of
healthcare scenarios. This narrative review outlines the current use and the future strategies …
healthcare scenarios. This narrative review outlines the current use and the future strategies …
Disease trajectories and mortality among individuals diagnosed with depression: a community-based cohort study in UK Biobank
X Han, C Hou, H Yang, W Chen, Z Ying, Y Hu… - Molecular …, 2021 - nature.com
Patients with depression are at increased risk for a range of comorbid diseases, with,
however, unclear explanations. In this large community-based cohort study of the UK …
however, unclear explanations. In this large community-based cohort study of the UK …
Longitudinal machine learning uncouples healthy aging factors from chronic disease risks
To understand human longevity, inherent aging processes must be distinguished from
known etiologies leading to age-related chronic diseases. Such deconvolution is difficult to …
known etiologies leading to age-related chronic diseases. Such deconvolution is difficult to …
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare
Introduction Guidelines advise ongoing follow-up of patients after hypertensive disorders of
pregnancy (HDP) to assess cardiovascular risk and manage future patient-specific …
pregnancy (HDP) to assess cardiovascular risk and manage future patient-specific …