Current Status and Emerging Trends in Colorectal Cancer Screening and Diagnostics.

Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on its high incidences and mortality rates, which raised the need for effective diagnostic strategies for the early detection and management of CRC. While there are several conventional cancer diagnostics available, they have certain limitations that hinder their effectiveness. Significant research efforts are currently being dedicated to elucidating novel methodologies that aim at comprehending the intricate molecular mechanism that underlies CRC. Recently, microfluidic diagnostics have emerged as a pivotal solution, offering non-invasive approaches to real-time monitoring of disease progression and treatment response. Microfluidic devices enable the integration of multiple sample preparation steps into a single platform, which speeds up processing and improves sensitivity. Such advancements in diagnostic technologies hold immense promise for revolutionizing the field of CRC diagnosis and enabling efficient detection and monitoring strategies. This article elucidates several of the latest developments in microfluidic technology for CRC diagnostics. In addition to the advancements in microfluidic technology for CRC diagnostics, the integration of artificial intelligence (AI) holds great promise for further enhancing diagnostic capabilities. Advancements in microfluidic systems and AI-driven approaches can revolutionize colorectal cancer diagnostics, offering accurate, efficient, and personalized strategies to improve patient outcomes and transform cancer management.

Innovative Biosensing Approaches for Swift Identification of Candida Species, Intrusive Pathogenic Organisms.

Candida is the largest genus of medically significant fungi. Although most of its members are commensals, residing harmlessly in human bodies, some are opportunistic and dangerously invasive. These have the ability to cause severe nosocomial candidiasis and candidemia that affect the viscera and bloodstream. A prompt diagnosis will lead to a successful treatment modality. The smart solution of biosensing technologies for rapid and precise detection of Candida species has made remarkable progress. The development of point-of-care (POC) biosensor devices involves sensor precision down to pico-/femtogram level, cost-effectiveness, portability, rapidity, and user-friendliness. However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant Candida species, especially Candida albicans and C. auris, and their applications in the medical setting.

Ultrasound-guided pediatric vascular cannulation by inexperienced operators: outcomes in a training model.

OBJECTIVE: To present the results of an ultrasound vascular cannulation (UGVC) training program for inexperienced operators using a training model. METHOD: This was a descriptive observational study developed in the paediatric intensive care unit (PICU) of a third-level hospital. Operators received basic theoretical training in the USVC technique, followed by practical training with a model designed for USVC-inexperienced healthcare professionals. RESULTS: The study included 25 healthcare professionals, who carried out a total of 300 ultrasound-guided cannulation procedures (12 per participant) at equidistant sites on the longitudinal axis/in-plane (LA/IP) and the transverse axis/out-of-plane (TA/OP). The mean depth of cannulated vessels was 0.90 (0.34) cm and their mean diameter was 0.41 (0.1) cm. In 41.7% of cases, complete view of the needle (CVN) was accomplished; in 49% of cases, repositioning of the needle/guidewire (RNG) was necessary for successful UGVC. The rate of successful UGVC in the training model was 79.7%. The mean time required for the procedure was 74.70 (73.72) seconds. The time to successful cannulation was 58.72 (56.87) seconds. The mean number of attempts needed until successful UGVC was 1.31 (0.72). Complications were: (a) 26.3% vessel perforation/wrong guidewire positioning (VP/WGP) and (b) 4.3% successful vessel puncture followed by failure to accomplish subsequent cannulation. CONCLUSIONS: Through the present theoretical-practical training program for inexperienced operators using a training model: (a) high success rates and short procedural times were attained; (b) complete view of needle and need for repositioning the needle/guidewire occurred in half of the procedures; and (c) complications occurred in a third of the procedures.

Evaluation of Training in Pediatric Ultrasound-guided Vascular Cannulation Using a Model.

BACKGROUND: The study objective was to evaluate a training program and a training model for pediatric ultrasound-guided vascular cannulation (USGVC) by inexperienced operators. METHODS: An observational descriptive study was conducted at the pediatric intensive care unit of a level-III hospital. The study protocol comprised the following parts: (1) pretraining test; (2) theory and practice training session consisting of an explanation of basic vascular ultrasound concepts plus performing vascular cannulation in a model; (3) posttraining test; and (4) evaluation of the training model. RESULTS: A total of 25 health-care professionals participated in the study. All of them possessed the skills to locate vessels and ultrasound planes, and they performed USGVC using the training model. On a 1-5 scale, the model was rated to have 87.6% fidelity with real pediatric patients; the best regarded aspect of it was utility (93%). Differences were found between pre- and post-training scores: 2.72 ± 0.84 versus 4.60 ± 0.50; P < 0.001 (95% confidence interval: -2.28, -1.47). Altogether, 300 ultrasound-guided cannulation procedures were carried out (12 per participant) distributed along the longitudinal axis in plane and the transverse axis out of plane, with 150 punctures in each of them. The success rate for USGVC in the training model was 79.7%, the mean time for the procedure was 115.6 ± 114.9 s, and the mean time for achieving successful cannulation was 87.69 ± 82.81 s. The mean number of trials needed for successful USGVC was 1.49 ± 0.86. CONCLUSION: After undergoing the theory-practice training, participants: (a) improved their knowledge of ultrasound-guided vascular access; (b) positively evaluated the USGVC training model, in particular its utility and fidelity as compared with cannulation in pediatric patients; and (c) achieved a high USGVC success rate in a relatively short time.