This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...
New species of gecko were found on the walls of 16th-century forts in Nepal. Bhattarai, et al (2025) ZooKeys Centuries ago in the Siwalik Mountains, a range in the outer Himalayas, ancient people ...
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
Get started with deep learning by setting up the perfect environment for your projects. From installing libraries to configuring tools, this guide covers everything you need. #DeepLearning #AI ...
Many galaxies exist in gravitationally interacting systems, often merging over time despite the universe's overall expansion. Keenan's System (NGC 5216 and NGC 5218, or Arp 104), located in Ursa Major ...
At the very top of Alex Geppert’s LinkedIn profile is a statement that reads like a challenge and a mission: “Technology is fast, and so am I.” It’s not a boast – it’s a fair summary of a young ...
Background: The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).
Nearly five years later, the appreciation has faded, and so has the public’s trust. “We went from health care heroes to now … we are almost villains at this point, and not to be trusted,” said Dr.
This project aims to classify various types of eye diseases using deep learning techniques. Eye diseases can occur due to various factors, such as age, diabetes, and other medical conditions. The ...
Five years ago this month, a tsunami of patients struggling to breathe due to a new, out-of-control virus slammed into Holy Name Medical Center in Teaneck — the first epicenter of the COVID-19 ...
Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...