TP53 Mutations are Associated with CD19 Negative Relapse and Inferior Outcomes after Blinatumomab in Adults with ALL.

Despite the success of the CD19xCD3 T cell engager blinatumomab in B-cell acute lymphoblastic leukemia (B-ALL), treatment failure is common and can manifest with antigen loss and extramedullary disease (EMD) relapse. To understand the impact of leukemia genetics on outcomes, we reviewed 267 adult patients with B-ALL treated with blinatumomab and used next generation sequencing to identify molecular alterations. Patients received blinatumomab for relapsed/refractory (R/R) disease (n=150), minimal residual disease (MRD+) (n=88), upfront as induction (n=10), or as consolidation in MRD- state (n=19).

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: "How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students?", we aimed to evaluate the performance of these models.

Mapping species of greatest conservation need and solar energy potential in the arid Southwest for future sustainable development.

The need for renewable energy has become increasingly evident in response to the climate change crisis, presenting a paradoxical challenge to biodiversity conservation. The Southwest United States is desirable for large-scale solar energy development (SED) due to its high global horizontal irradiance (GHI) values and vast open landscapes. However, this region is also rich in unique ecological and biological diversity.