JEE Main cutoff marks vary yearly by category. The 2025 General category cutoff was 93.10, with different cutoffs set for OBC ...
aDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA bDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston ...
Paper 1 features Mathematics, Physics, and Chemistry with MCQs and numerical questions, each section carrying 100 marks. Results will be announced on February 12, 2026, based on NTA scores.
Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19 ...
Objectives COVID-19, a public health emergency affecting the world in 2019, not only greatly promoted the development and application of vaccines but also effectively shortened the publishing time of ...
Objective The FOURIER trial showed a benefit of the PCSK9 inhibitor evolocumab over placebo with respect to cardiovascular outcomes in patients with cardiovascular disease. However, we observed some ...
The tech giant is reviving the Duane Arnold Energy Center, the latest big tech move to fuel expansive artificial intelligence ambitions.
The initiative marks one of the biggest technology-led education reforms since the rollout of the National Education Policy ...
NTA will likely begin the JEE Main 2025 registrations shortly. Read the full article to know the benefits of conducting the exam biannually. The National Testing Agency (NTA) will soon announce the ...
The National Testing Agency (NTA) has announced the examination schedule for the Joint Entrance Examination (JEE) Main 2026 sessions 1 and 2. The official notification indicates that JEE Mains 2026 ...
JEE Mains Registration Date 2026: The National Testing Agency (NTA) has officially announced the JEE Main 2026 schedule, with registration set to begin in October 2025. The online application portal ...
Abstract: Recent years have experienced phenomenal growth in computer-aided diagnosis systems based on machine learning algorithms for anomaly detection tasks in the medical image domain. However, the ...