14 Haziran 2019 Cuma

13 Haziran 2019 Perşembe

Son 70 yılın PubMed makale konuları

Buna benzer bir çalışmayı patoloji makalelerinde yapmış, USCAP'te sunmuştuk.

Şimdi yeniden veritabanını kurup bu grafiğe benzer bir grafiği de hazırlamak istiyorum.

R'da ve app ile nasıl yapılacağına dair bir örnekler buldum:





https://www.youtube.com/watch?v=6z9_fjCuQtE
This is how diseases were studied in the past 70 years.
We have analyzed over 29,000,000 articles and 250GB of data.
Computational Systems Biology Laboratory (csbiology.com).

10 Mart 2019 Pazar

Artificial intelligence digitally stains tissue samples used in pathology, saving labor, time and cost

Artificial intelligence digitally stains tissue samples used in pathology, saving labor, time and cost: Histopathology is one of the main methods used for diagnosis of disease. Following a medical screening process, a patient can undergo a biopsy, in which a piece of tissue is removed for further inspection and diagnostic analysis. This tissue specimen is then sliced into thin sections that are on the order of a few millionths of a meter in thickness. These thin sections of tissue contain at the microscopic scale the diagnostic information regarding the patient's condition. However, they exhibit almost no contrast under standard light microscopy. To reveal these microscopic features embedded inside tissue and bring visible contrast for inspection by a pathologist, various tissue staining methods have been created in pathology dating back to more than 150 years ago. These tissue staining procedures use different types of colored dyes that specifically label micro-scale structures in tissue, forming colorful images of specimens, which have been widely used as a gold standard diagnostic method in modern medicine.