Preventing dataset shift from breaking machine-learning biomarkers [PDF]
Machine learning brings the hope of finding new biomarkers extracted from cohorts with rich biomedical measurements. A good biomarker is one that gives reliable detection of the corresponding condition. However, biomarkers are often extracted from a cohort that differs from the target population. Such a mismatch, known as a dataset shift, can undermine
arxiv
Myocardial Dysfunction in an Animal Model of Cancer Cachexia [PDF]
Aims Fatigue is a common occurrence in cancer patients regardless of tumor type or anti-tumor therapies and is an especially problematic symptom in persons with incurable tumor disease.
Crawford, Danielle+7 more
core +2 more sources
Chronic obstructive pulmonary disease (COPD) is a risk factor for lung cancer development. COPD induces activation of hypoxia-induced signaling, causing remodeling of surrounding microenvironmental cells also modulating the release and cargo of their ...
Ilaria Petraroia+10 more
doaj +1 more source
Extracting Digital Biomarkers for Unobtrusive Stress State Screening from Multimodal Wearable Data [PDF]
With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an individual's physiological and psychological states, such as activity level, mood, stress, and cognitive health.
arxiv
Circulating inflammatory and hemostatic biomarkers are associated with risk of myocardial infarction and coronary death, but not angina pectoris, in older men [PDF]
Aims: The extent to which hemostatic and inflammatory biomarkers are related to angina pectoris as compared with myocardial infarction (MI) remains uncertain.
Lennon, L+5 more
core +1 more source
The minor collagens in articular cartilage
Articular cartilage is a connective tissue consisting of a specialized extracellular matrix (ECM) that dominates the bulk of its wet and dry weight. Type II collagen and aggrecan are the main ECM proteins in cartilage.
Yunyun Luo+7 more
doaj +1 more source
Joint Modeling of Biomarker Cascades Along An Unobserved Disease Progression with Differentiate Covariate Effects: An Application in Alzheimer's Disease [PDF]
Alzheimer's Disease (AD) research has shifted to focus on biomarker trajectories and their potential use in understanding the underlying AD-related pathological process. A conceptual framework was proposed in modern AD research that hypothesized biomarker cascades as a result of underlying AD pathology.
arxiv
Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy
In medical research, it is common to collect information of multiple continuous biomarkers to improve the accuracy of diagnostic tests. Combining the measurements of these biomarkers into one single score is a popular practice to integrate the collected ...
Fang, Yixin+3 more
core +1 more source
Association of Systemic Inflammation With Retinal Vascular Caliber in Patients With AIDS. [PDF]
PurposeTo evaluate relationships among retinal vascular caliber and biomarkers of systemic inflammation in patients with AIDS.MethodsA total of 454 participants with AIDS had retinal vascular caliber (central retinal artery equivalent and central retinal
Cheu, Ryan+9 more
core +1 more source
Background: Therapies for metabolic diseases are numerous, yet improving insulin sensitivity beyond that induced by weight loss remains challenging. Therefore, search continues for novel treatment candidates that can stimulate insulin sensitivity and ...
Nina Sonne+2 more
doaj