Evaluation of fruquintinib's efficacy and safety in refractory metastatic colorectal cancer: a systematic review and meta-analysis of phase II and III randomized controlled trials.

Background: Metastatic colorectal cancer (mCRC) remains a significant cause of mortality despite advancements in treatments. Fruquintinib, a potent VEGFR inhibitor, has shown promise as an advanced therapy for mCRC. This review evaluates the efficacy and safety of fruquintinib compared to placebo in patients with refractory mCRC, focusing on Phase II and III trials.

Pre-Prediabetes: Insulin Resistance is Associated with Cardiometabolic Risk in Non-obese Patients (STOP DIABETES).

Background/aim: To examine if insulin resistance is associated with markers of glycemic, cardiometabolic and atherosclerotic risk in non-obese, non-prediabetic individuals compared to insulin sensitive subjects matched for BMI, gender, and age.

Methods: Of 1860 patients from STOP DIABETES study, 624 had normal fasting plasma glucose, body mass index < 30, and HbA1c < 5.7%.

Equine intervertebral disc disease with dorsal protrusion and spinal cord compression: A computed tomography, myelography, MRI, and histopathologic case study.

A 3-year-old American Saddlebred gelding presented for progressive tetraparesis, ataxia, and cervical hyperaesthesia. Radiographic myelography identified spinal cord compression at C6-7 in neutral, extended, and flexed positions and at C4-5 in the flexed position. CT myelography and postmortem MRI identified severe vertebral canal stenosis/compression at C6-7.

Infectious Causes of Equine Placentitis and Abortion.

A variety of infectious agents including viral, bacterial, and fungal organisms can cause equine abortion and placentitis. Knowledge of normal anatomy and the common pattern distribution of different infectious agents will assist the practitioner in evaluating the fetus and/or placenta, collecting appropriate samples for further testing, and in some cases, forming a presumptive diagnosis. In all cases, it is recommended to confirm the diagnosis with molecular, serologic, or microbiological testing.

AUV-Aided Optical-Acoustic Hybrid Data Collection Based on Deep Reinforcement Learning.

Autonomous underwater vehicles (AUVs)-assisted mobile data collection in underwater wireless sensor networks (UWSNs) has received significant attention because of their mobility and flexibility. To satisfy the increasing demand of diverse application requirements for underwater data collection, such as time-sensitive data freshness, emergency event security as well as energy efficiency, in this paper, we propose a novel multi-modal AUV-assisted data collection scheme which integrates both acoustic and optical technologies and takes advantage of their complementary strengths in terms of communication distance and data rate. In this scheme, we consider the age of information (AoI) of the data packet, node transmission energy as well as energy consumption of the AUV movement, and we make a trade-off between them to retrieve data in a timely and reliable manner.