Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach.

Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated considerable potential in healthcare by facilitating the detection of various diseases.

Dihydrofolate reductase inhibitory potential of 1H-indole-based-meldrum linked 1H-1,2,3-triazoles as new anticancer derivatives: In-vitro and in-silico studies.

In this present work, we describe the syntheses of a new series of 32 1H-indole-based-meldrum linked 1H-1,2,3-triazole derivatives (2-13, 15a-15f, 16a-16f, 17a-17f and 19a, 19b, 20a), which constitute a new class of 1H-1,2,3-triazoles. Compounds 15a-15f, 16a-16f, 17a-17f have been prepared by employing "click" reactions between substituted 1H-indole-based meldrum alkynes (11, 12 and 13) and substituted aromatic azides (14a-14f) in the presence of copper iodide (CuI) and Hünig's base. Then, the synthesis of compounds 19, 20 through decomposition of meldrum moiety.

Correction: Ebrahimi, A.; Czarnuch, S. Automatic Super-Surface Removal in Complex 3D Indoor Environments Using Iterative Region-Based RANSAC. 2021, , 3724.

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Comparison of dry needling with exercise and exercise alone on spasticity, range of motion, and function of post-stroke chronic spastic patients.

Introduction: Stroke is a common cause of disability and death in adults, with spasticity being a common post-stroke complication that can significantly affect patients' quality of life. This study aimed to investigate the impact of exercise therapy alone versus exercise therapy combined with dry needling on clinical outcomes in patients with chronic spasticity after stroke.

Methods: Forty patients were randomly assigned to either a control or intervention group.