Journal: Lancet (London, England)

Article Title: Adult obesity and risk of severe infections: a multicohort study with global burden estimates

doi: 10.1016/S0140-6736(25)02474-2

Figure Lengend Snippet: Association between BMI category and risk of severe infectious disease, including non-fatal hospital-treated infections (A), fatal infections (B), and any infections (C) in the Finnish cohorts and UK Biobank

Article Snippet: In UK Biobank, height was measured using a Seca 202 device, weight using the Tanita BC418MA body composition analyser (Tanita, Manchester, UK), and waist circumference with a horizontally positioned tape measure.

Techniques:

Journal: Lancet (London, England)

Article Title: Adult obesity and risk of severe infections: a multicohort study with global burden estimates

doi: 10.1016/S0140-6736(25)02474-2

Figure Lengend Snippet: Association between BMI category and risk of severe infectious disease after multivariable adjustments in the Finnish cohorts and UK Biobank

Article Snippet: In UK Biobank, height was measured using a Seca 202 device, weight using the Tanita BC418MA body composition analyser (Tanita, Manchester, UK), and waist circumference with a horizontally positioned tape measure.

Techniques:

Journal: Lancet (London, England)

Article Title: Adult obesity and risk of severe infections: a multicohort study with global burden estimates

doi: 10.1016/S0140-6736(25)02474-2

Figure Lengend Snippet: Association between BMI category and risk of severe infections in subgroups, including subgroups with lower infection risk (A) and those with higher infection risk (B) *Only Finnish cohorts. †Only UK Biobank. ‡Diabetes, coronary heart disease, stroke, asthma, chronic obstructive pulmonary disease, or cancer.

Article Snippet: In UK Biobank, height was measured using a Seca 202 device, weight using the Tanita BC418MA body composition analyser (Tanita, Manchester, UK), and waist circumference with a horizontally positioned tape measure.

Techniques: Infection

Journal: Scientific Reports

Article Title: Validation of AI-enhanced ECG image analysis for identifying extreme cardiac magnetic resonance metrics in a cross-ethnic UK biobank study

doi: 10.1038/s41598-026-41824-5

Figure Lengend Snippet: Flowchart illustrating AI-ECG algorithm development and validation dataset. The six AI-ECG models used in this study s– four targeting functional abnormalities and two targeting structural abnormalities – were previously developed using ECG datasets from Seoul National University Bundang Hospital (SNUBH). These models were validated against CMR-derived values in the UK Biobank population. CMR = cardiac magnetic resonance imaging, ECG electrocardiography, QCG quantitative ECG, LVD left ventricular dysfunction, RVD right ventricular dysfunction, GLS global longitudinal strain, LVH left ventricular hypertrophy, LAE left atrial enlargement.

Article Snippet: CMR imaging in the UK Biobank was conducted using 1.5-Tesla MAGNETOM Aera scanners (Siemens Healthcare, Syngo Platform VD13A), following a previously established protocol .

Techniques: Biomarker Discovery, Functional Assay, Derivative Assay, Magnetic Resonance Imaging

Journal: European Journal of Neurology

Article Title: Dementia Risk According to Indices of Insulin Sensitivity and Beta‐Cell Function in Individuals With Newly Diagnosed Type 2 Diabetes: A Cohort Study

doi: 10.1111/ene.70527

Figure Lengend Snippet: Flow chart of the study cohort. Enrolled participants were grouped by insulin sensitivity (HOMA2‐S) and beta‐cell function (HOMA2‐B) into insulinopenic (high HOMA2‐S, low HOMA2‐B), classical (low HOMA2‐S, low HOMA2‐B), or hyperinsulinemic (low HOMA2‐S, high HOMA2‐B) type 2 diabetes using the cut‐off values 63.5% for HOMA2‐S and 115.3% for HOMA2. Individuals with high HOMA2‐S and high HOMA2‐B were excluded from the analysis because of the small number of individuals ( n = 34). Details on data sources and codes used for defining variables are provided in Table . Abbreviations: DD2, Danish Centre for Strategic Research in Type 2 Diabetes; HOMA2, homeostasis model assessment‐2; LADA, latent autoimmune diabetes of adults; T2D, type 2 diabetes.

Article Snippet: The DD2 biobank was supported by an unrestricted donation from Novo Nordisk A/S.

Techniques: Cell Function Assay