Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study.

Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.

Real-world safety and efficacy of teclistamab in relapsed/refractory multiple myeloma: results from a multicenter, retrospective study and descriptive meta-analysis.

Patients participating in clinical trials are highly selected and may not represent the general population. The pivotal study of teclistamab (MajesTEC-1), a B-cell maturation antigen (BCMA)xCD3 bispecific antibody, demonstrated impressive response rates and progression free survival in relapsed/refractory multiple myeloma (RRMM) with acceptable toxicity. We performed a retrospective study of 58 patients treated as standard of care at four US academic centers to determine how these results translated to the real-world.

Brain network dynamics predict moments of surprise across contexts.

We experience surprise when reality conflicts with our expectations. When we encounter such expectation violations in psychological tasks and daily life, are we experiencing completely different forms of surprise? Or is surprise a fundamental psychological process with shared neural bases across contexts? To address this question, we identified a brain network model, the surprise edge-fluctuation-based predictive model (EFPM), whose regional interaction dynamics measured with functional magnetic resonance imaging (fMRI) predicted surprise in an adaptive learning task. The same model generalized to predict surprise as a separate group of individuals watched suspenseful basketball games and as a third group watched videos violating psychological expectations.

Proton radiography inversions with source extraction and comparison to mesh methods.

Proton radiography is a central diagnostic technique for measuring electromagnetic (EM) fields in high-energy-density, laser-produced plasmas. In this technique, protons traverse the plasma where they accumulate small EM deflections which lead to variations in the proton fluence pattern on a detector. Path-integrated EM fields can then be extracted from the fluence image through an inversion process.

Pump depletion and the Raman gap in ignition-scale plasmas.

Laser-plasma instabilities under ignition conditions for direct-drive inertial confinement fusion are studied using two-dimensional particle-in-cell simulations with a combination of in-plane (PP) and out-of-the-plane (SP) lasers. The results show that stimulated Raman side-scattering can induce significant pump depletion and form a gap in the Raman scattered-light spectra that have been observed in experiments.