Jude Mary Cénat, Elisabeth Dromer, Seyed Mohammad Mahdi Moshirian Farahi, Christa Masengesho Ndamage, Aiden Yun, Hannah Zuta, Jihane Mkhatri, Eden Samson, Raina Barara, Patrick R Labelle, Yan Xu
Venous thromboembolism in Black COVID-19 patients in a minority context compared to White, Asian and other racialized patients: A systematic review and meta-analysis
Thrombosis research
reliable methods pregnancy diagnosis dairy herds include rectal palpation ultrasound examination evaluation plasma progesterone concentrations however methods expensive laborintensive invasive thus need develop practical noninvasive costeffective method implemented farm detect pregnancy study suggests employing microwave dielectric spectroscopy mds 0540 ghz method evaluate reproduction events dairy cows approach involves integration mds data information milk solids detect pregnancy identify early embryonic loss dairy cows test ability predict pregnancy according measurements milk samples collected pregnant nonpregnant randomly selected cows ii weekly selected cows n 12 insemination positive pregnancy test iii daily selected cows n 10 prior insemination positive pregnancy test results indicated dielectric strength relaxation time exhibited reduced variability case positive pregnancy diagnosis using principal component analysis pca clear distinction pregnancy nonpregnancy status observed improved differentiation upon higher sampling frequency additionally neural network machine learning technique employed develop prediction algorithm accuracy 73 findings demonstrate mds used detect changes milk upon pregnancy developed machine learning provides broad classification could enhanced additional data