Dr. Priya Sen
Dr. Priya Sen is a leading expert in bioinformatics and computational biology. Her research focuses on genomic data analysis and the development of algorithms for biological research.
Explore the complexities of B cell lymphoma prognosis, including risk factors, treatment options, and the impact of genetic markers on outcomes. 📊🔬
Explore the vital components of a research paper 📚. Understand each section's role, from the introduction to the discussion, to enhance your academic writing! ✍️
Explore the impact of excess weight on IVF success rates. This article offers insights into challenges faced by overweight individuals seeking fertility assistance. ⚕️👶
Explore diverse treatments for Peripheral Arterial Disease (PAD) including lifestyle changes, medications, and surgical options. 🩺 Gain insights for effective management! 💊
Discover effective biological pest control methods 🌱. Explore strategies, benefits, and their role in sustainable integrated pest management systems 🌍.
Discover effective strategies for preparing for climate change. Learn how individuals, communities, and organizations can enhance resilience and adapt. 🌍💪
Discover the intricate role of anti-goat secondary antibodies in scientific research. Dive into their functions, applications in immunology, and advancements! 🧬🔬
Explore the complex relationship between bariatric surgery and depression. Understand psychological impacts, risk factors, and the need for mental health support after surgery. 🏥💭
Explore the complex world of inflammation 🧬. Understand its impact on health, dietary approaches, lifestyle changes, and emerging treatments for better management.
Unlock the full potential of the NYU Langone Health login portal! 🏥 This comprehensive guide covers everything from the login process to troubleshooting tips for optimal usage. 💻
Explore the complexities of lymphoma affecting the nervous system. Learn about PCNSL, diagnosis, treatment options, and advancements in research.🧠💉
Explore the distinct symptoms of Type 1 and Type 2 diabetes. This article offers insights into demographics, physiological mechanisms, and the need for early intervention. 🩺