A team of researchers from UT Southwestern has developed a software that employs Artificial Intelligence to recognize cancer cells from digital pathology images. The software named as ConvPath, identify cells based on their appearance in the pathology images using an AI algorithm that learns from human pathologists. The algorithm effectively converts a pathology image into a “map” that displays the three-dimensional distributions and interactions of tumor cells, stromal cells, and lymphocytes in tumor tissue. The researchers believe that such information can help doctors customize treatment plans and pinpoint the right immunotherapy.
Maturity-onset diabetes of the young (MODY) is a hereditary form of diabetes, typically diagnosed before the age of 25. Unlike common types, MODY is caused by specific genetic mutations affecting insulin production. Understanding its genetic basis is crucial for accurate diagnosis and personalized treatment. Early detection enables tailored interventions, emphasizing the significance of genetic screening […]
According to the survey conducted by the British Council, the students leaving their home country for higher education to abroad has decreased in number. The reason behind this change is that there has been increase in the number of local investors for higher education, in many countries. Earlier, students’ preferred to go abroad for higher […]
Antarctica is experiencing profound changes, with flowering plants, moss, and algae spreading due to rising summer temperatures. Record-low sea ice levels have also been observed. In 2022, Antarctica saw its most significant heatwave on record, with temperatures reaching 39 °C above normal. Climate change amplified this event by 2°C over the last century, and projections […]