A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Deep learning model performs differently in TB-specific vs non-TB-specific chest X-rays.
Proposes TPIS for early and low-cost TB vs. pneumonia diagnosis.
Machine learning improves diagnostic test accuracy for bovine tuberculosis.
The study uses neural networks to classify and predict coronavirus data.
Personalized models explain TB treatment outcomes considering patient context.
Model predicts missed doses and targets TB patients more effectively.
EGDL predicts TB outbreaks with deep learning, integrating epidemiological models.
Designing a new drug is a lengthy and expensive process. As the space of potential molecules is very large (10^23-10^60), a common technique during drug discovery is to start from a molecule which already has some of the desired properties. An interdisciplinary team of scientists generates hypothesis about the required…
A standard technique for understanding underlying dependency structures among a set of variables posits a shared conditional probability distribution for the variables measured on individuals within a group. This approach is often referred to as module networks, where individuals are represented by nodes in a network, …
The paper investigates deep neural networks for medical imaging applications, providing interpretable results.
Proposes a method to quantify uncertainty in DNN models for discrete inputs.
New bandit model for healthcare intervention planning.
Double descent observed in tree-based models for genomic prediction.