Improving Time to Diagnosis and Management of Pediatric Patients with Acute Neurologic Dysfunction.

Background: Children presenting to the pediatric emergency department (PED) with neurologic dysfunction require prompt evaluation. Many PEDs successfully implement stroke alerts. However, most pediatric patients presenting with neurologic dysfunction have a non-stroke diagnosis better evaluated using magnetic resonance imaging (MRI).

Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.

Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combined with a thorough examination of the TYRKC and RBR-E3 domains in stress-associated signaling proteins across a range of crop species.

Real-World Experience of Imipenem-Relebactam Treatment as Salvage Therapy in Difficult-to-Treat Pseudomonas aeruginosa Infections (IMRECOR Study).

Introduction: Difficult-to-treat-resistant (DTR) infections caused by Pseudomonas aeruginosa represent a global public health threat, prioritizing the search and development of new antibiotics for this microorganism.

Methods: We present the real-life experience of the compassionate use of imipenem/cilastatin/relebactam in a descriptive study involving 14 patients with DTR-P. aeruginosa infection and limited treatment options.

Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model.

Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life.