EXPRESS: Outcomes of Beta Blocker Therapy in Methamphetamine Users with Cardiovascular Conditions.

Methamphetamine use is associated with a range of cardiovascular conditions including hypertension and heart failure. Beta-blocker use is commonly avoided when treating patients intoxicated with methamphetamines due to a fear of inducing unopposed alpha stimulation and worsening hypertension. We performed a retrospective review of medical records in a county hospital in California with a high prevalence of methamphetamine users.

Improving Bioimpedance-based Tissue Identification with Frequency Response Similarity Metrics.

Tissue identification is essential for surgeons to properly perform procedures and make informed decisions to minimize potential harm to patients. Minimally invasive surgery (MIS) offers enhanced patient safety and outcomes at the cost of lost information due to restricted vision and loss of touch, among other factors. This makes it more difficult to quickly and consistently identify tissues correctly.

Summary from the NCI clinical trials planning meeting on next generation of clinical trials in non-muscle invasive bladder cancer.

The National Cancer Institute organized a virtual Clinical Trials Planning Meeting (CTPM) on 'Defining the next generation of clinical trials with combination therapies in non-muscle invasive bladder cancer (NMIBC)' led by the Bladder Cancer Task Force of the NCI Genitourinary Cancers Steering Committee. The purpose of this meeting was to accelerate advances in clinical trials for patients with high-risk NMIBC. The meeting delivered a multidisciplinary expert consensus on optimal strategies for next-generation clinical trial designs in NMIBC with prioritization of combination therapies.

Opportunities and challenges for patient-derived models of brain tumors in functional precision medicine.

Here, we review a growing paradigm shift from genomics-based precision medicine toward functional precision medicine, which evaluates therapeutic efficacy by directly treating living patient tumors ex vivo to better predict patient-specific responses to treatment. We discuss several classes of patient-derived models of central nervous system tumors, highlighting unique features of each. Each class of models holds promise to improve treatment selection, prolong survival, and enhance patient outcomes.

Tibiofemoral cartilage strain and recovery following a 3-mile run measured using deep learning segmentation of bone and cartilage.

Objective: We sought to measure the deformation of tibiofemoral cartilage immediately following a 3-mile treadmill run, as well as the recovery of cartilage thickness the following day. To enable these measurements, we developed and validated deep learning models to automate tibiofemoral cartilage and bone segmentation from double-echo steady-state magnetic resonance imaging (MRI) scans.

Design: Eight asymptomatic male participants arrived at 7 a.