Adaptive Evolutionary Optimization of Deep Learning Architectures for Focused Liver Ultrasound Image Segmentation.

Liver ultrasound segmentation is challenging due to low image quality and variability. While deep learning (DL) models have been widely applied for medical segmentation, generic pre-configured models may not meet the specific requirements for targeted areas in liver ultrasound. Quantitative ultrasound (QUS) is emerging as a promising tool for liver fat measurement; however, accurately segmenting regions of interest within liver ultrasound images remains a challenge.

Prehospital Buprenorphine in Treating Symptoms of Opioid Withdrawal - A Descriptive Review of the First 131 Cases in San Francisco, CA.

Objectives: Opioid use disorder (OUD) remains a common cause of overdose and mortality in the United States. Emergency medical services (EMS) clinicians often interact with patients with OUD, including during or shortly after an overdose. The aim of this study was to describe the characteristics and outcomes of patients receiving prehospital buprenorphine for the treatment of opioid withdrawal in an urban EMS system.

The role of circulating tumor DNA in melanomas of the uveal tract.

Melanoma of the uveal tract or uveal melanoma (UM) originates from melanocytes of the eye and is the most common intraocular malignancy in adults. Despite considerable advances in diagnostic procedures and treatments, prognosis remains poor in those with advanced disease. Accordingly, although current treatments have an excellent local disease control rate, approximately 50% of patients develop metastatic relapse within 10 years.

Tissue-resident natural killer cells support survival in pancreatic cancer through promotion of cDC1-CD8 T activity.

The immunosuppressive microenvironment in pancreatic ductal adenocarcinoma (PDAC) prevents tumor control and strategies to restore anti-cancer immunity (i.e. by increasing CD8 T-cell activity) have had limited success.

Review article: Primer for clinical researchers on innovative trial designs for emergency medicine.

Randomised trials have long been recognised as the gold standard research tool for evidence-based medicine. The past decade has seen the emergence of several innovative trial designs that are revolutionising how trials are conducted. These innovative designs enable more efficient, pragmatic trials that can address complex research questions which were previously not possible.