Engineered feature embeddings meet deep learning: A novel strategy to improve bone marrow cell classification and model transparency.

Cytomorphology evaluation of bone marrow cell is the initial step to diagnose different hematological diseases. This assessment is still manually performed by trained specialists, who may be a bottleneck within the clinical process. Deep learning algorithms are a promising approach to automate this bone marrow cell evaluation.

Isocyanate-based multicomponent reactions.

Since their discovery, multicomponent reactions have attracted significant attention due to their versatility and efficiency. This review aims to explore the latest advancements in isocyanate-based multicomponent reactions and the sophisticated chemical opportunities they present for generating molecules of interest. The added value of the methodologies described, supported by mechanism schemes, as well as scopes of application, will be discussed.

Leucine-rich repeat proteins of that interact to host glycosaminoglycans and integrins.

Pathogenic spirochaetes of the genus are the etiological agents of leptospirosis, a zoonotic infection worldwide. The disease is considered an emerging and re-emerging threat due to global warming, followed by heavy rainfall and flooding when outbreaks of leptospirosis occur. Adhesion to host tissues is mediated by surface/extracellular proteins expressed by pathogens during infection.

An Educational Digital Tool to Improve the Implementation of Switching to a Biosimilar (Rapid Switch Trainer): Tool Development and Validation Study.

Background: Switching to biosimilars is an effective and safe practice in treating inflammatory diseases; however, a nocebo effect may arise as a result of the way in which the switch is communicated to a given patient.

Objective: We aimed to design a gaming-based digital educational tool (including a discussion algorithm) to support the training of health care professionals in efficiently communicating the switch to biosimilars, minimizing the generation of a nocebo effect and thus serving as an implementation strategy for the recommended switch.

Methods: The tool was developed based on interviews and focus group discussions with key stakeholders, both patients and health care professionals.

Reallocations of Time Between Sleep, Sedentary Behavior, and Physical Activity and their Associations with 24-Hour Blood Pressure.

Background: The 24-hour activity cycle (sleep, sedentary behavior, light physical activity, moderate to vigorous physical activity) may have deleterious or beneficial associations with 24-hour blood pressure.

Purpose: Estimate the short-term associated changes in 24H-BP with acutely replacing 30 min/d from one behavior of the 24H-ACT to other behaviors in employed adults.

Methods: Participants (N=659) wore an ambulatory blood pressure monitor and two accelerometers (waist and wrist) to measure 24-hour blood pressure and the 24-hour activity cycle.