Explore 2026 CLL frontline choices, from all-oral acalabrutinib–venetoclax to MRD-guided care, plus pipeline advances and ...
A new study found that an algorithm created by UC San Francisco researchers helped improve the health of thousands of Californians and prevented dozens of deaths. The study, published Wednesday in the ...
Contributed by Rafi Ahmed; received December 23, 2024; accepted August 2, 2025; reviewed by Carl H. June and Alan J. Korman Patients with CLL often have an abnormal T compartment, with an inverted CD4 ...
Abstract: This paper investigates how to accelerate the convergence of distributed optimization algorithms on non-convex problems with only zeroth-order information available. We propose a ...
Leveraging Digital Technology and Artificial Intelligence to Describe the Real-World Belgian Chronic Lymphocytic Leukemia Patient Population: The BE-CLLEAR Study Matthias Vanderkerken et al. full text ...
Background Knowing the genetic status of patients affected by paragangliomas and pheochromocytomas (PPGL) is important for the guidance of their management and their relatives. Our objective was to ...
Purpose The University of Surrey-Lilly Real World Evidence (RWE) diabetes cohort has been established to provide insights into the management of type 2 diabetes mellitus (T2DM). There are 3 areas of ...
Abstract: Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the ...
Machine learning is a branch of computer science and statistics that generates predictive or descriptive models by learning from training data rather than by being rigidly programmed. It has attracted ...
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