Vitamin D-related gene polymorphisms, plasma 25-hydroxyvitamin D, and breast cancer risk

Studies of vitamin D pathway genetic variants in relation to cancer risk have been inconsistent. We examined associations between vitamin D-related genetic polymorphisms, plasma 25-hydroxyvitamin D [25(OH)D], and breast cancer risk

Association between Plasma 25-Hydroxyvitamin D and Breast Cancer Risk

Vitamin D has been associated with decreased risk of several cancers. In experimental studies, vitamin D has been shown to inhibit cell proliferation and induce differentiation and apoptosis in normal and malignant breast cells. Using a population-based case-control study on Long Island, New York, we examined the association of breast cancer with plasma 25-hydroxyvitamin D (25-OHD) levels, a measure of vitamin D body stores. In-person interviews and blood specimens were obtained from 1,026 incident breast cancer cases diagnosed in 1996 to 1997 and 1,075 population-based controls. Plasma 25-OHD was measured in batched, archived specimens by Diasorin RIA. The mean (SD) plasma 25-OHD concentration was 27.1 (13.0) and 29.7 (15.1) ng/mL in the cases and controls, respectively (P 32 ng/mL are associated with normal bone mineral metabolism, our data suggest that the optimal level for breast cancer prevention is ≥40 ng/mL. Well-designed clinical trials are urgently needed to determine whether vitamin D supplementation is effective for breast cancer chemoprevention

Primary hyperparathyroidism is associated with abnormal cortical and trabecular microstructure and reduced bone stiffness in postmenopausal women

Cilj ovog rada je utvrditi rodbinsku vezu dviju osoba na temelju slika lica korištenjem algoritama za detekciju lica, verifikaciju i prepoznavanje uzoraka koji se nalaze na proslijeđenim slikama lica pojedinaca. U radu su opisane razne biometrijske tehnike, osnovne sličnosti među pojedincima koji jesu u rodbinskim vezama. Također, opisani su principi rada algoritama za utvrđivanje rodbinskih veza, te je prikazana struktura i osnovne značajke dubokih neuronskih mreža. U poglavlju s praktičnim radom objašnjeni su i prikazani korišteni skupovi podataka. Grafičko sučelje izrađene aplikacije je rađeno u Visual Studio 2019 u programskom jeziku C# u koji se unose slike lica i u pozadini se pokreće skripta napisana u programskom jeziku Python 3.6.8. koja spaja te slike u jednu te ju prosljeđuje mreži koja validira postojanje rodbinske veze među pojedincima na slici. Nadalje, grafički su prikazani rezultati treniranja mreže, te je donesen zaključak teme s obzirom na sve navedeno u radu