Results 31 to 40 of about 707 (101)
In this retrospective cohort of adult Burkitt lymphoma, DA‐EPOCH‐R showed no signal of inferior survival or relapse risk compared with GMALL‐based high‐intensity therapy. Outcomes were driven mainly by established prognostic factors, particularly age, advanced stage and Burkitt lymphoma International Prognostic Index.
Eduard Schulz +4 more
wiley +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
ABSTRACT Objectives Pediatric acute myeloid leukemia (AML) chemotherapy regimens are frequently burdened by fever episodes, systemic inflammation and bloodstream infections (BSI). Mucosal barrier injury may contribute to these complications, but its role in childhood AML remains uninvestigated.
Carla Warley Kjær +8 more
wiley +1 more source
Understanding and addressing resistance to IMiDs immunomodulatory compounds in multiple myeloma
IMiDs are pivotal in the treatment of multiple myeloma. Mechanisms of resistance comprise cell intrinsic and extrinsic pathways, involving tumour microenvironment, immune cell dysfunction, CRBN‐dependent and independent genetic drivers and epigenetic changes.
Maria‐Cynthia Fuentes‐Lacouture +3 more
wiley +1 more source
Preference‐Based Representations for Collective Agency
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir +2 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Blue‐Laser Posterior Nasal Neurolysis via Dual Layer Nerve Modulation for Chronic Rhinitis
Blue laser posterior nasal nerve neurolysis combined with inferior turbinate reduction provides superior symptom relief, particularly for rhinorrhea, with excellent safety and tolerability. This dual layer nerve modulation operation offers a promising minimally invasive treatment for medication‐refractory chronic allergic rhinitis.
Lok‐Yee Joyce Li +6 more
wiley +1 more source
Manufacturing and clinical applications of non‐CAR‐T immune effector cells
Transfusion, EarlyView.
Thane Kubik +2 more
wiley +1 more source
American Journal of Hematology, Volume 101, Issue 8, Page 2038-2043, August 2026.
Sankalp Arora +18 more
wiley +1 more source

