Genistein in focus: pharmacological effects and immune pathway modulation in cancer.

Cancer is a significant global health concern, responsible for mortality and morbidity of individuals. It is characterized by uncontrolled cellular growth, tumor formation, and potential metastasis. The immune system is pivotal in recognizing and eliminating cancerous cells, with immune cells such as T cells, B cells, natural killer cells (NK), and dendritic cells playing critical roles.

Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis.

Background: Early and reliable prognostication in post-cardiac arrest patients remains challenging, with various factors linked to return of spontaneous circulation (ROSC), survival, and neurological results. Machine learning and deep learning models show promise in improving these predictions. This systematic review and meta-analysis evaluates how effective these approaches are in predicting clinical outcomes at different time points using structured data.

Translating molecular insights into clinical success: alkaloid-based therapies for leukemia.

Alkaloids, a diverse class of naturally occurring compounds, have shown significant potential in the treatment of leukemia by targeting key molecular pathways and cellular mechanisms. This review discusses several potent alkaloids, such as homoharringtonine, chaetominine, matrine, and jerantinine B, which induce apoptosis, cell cycle arrest, and autophagy and inhibit signaling pathways including PI3K/Akt/mTOR, MAPK, and NF-κB. For instance, homoharringtonine induces apoptosis in acute myeloid leukemia (AML) cells via the SP1/TET1/5hmC/FLT3/MYC axis, while chaetominine enhances chemosensitivity by inhibiting the PI3K/Akt/Nrf2 pathway.

3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection.

Cardiovascular diseases represent the leading global cause of death, typically diagnosed and addressed through electrocardiograms (ECG), which record the heart's electrical activity. In recent years, there has been a notable surge in ECG recordings, driven by the widespread use of wearable devices. However, the limited availability of medical experts to analyze these recordings underscores the necessity for automated ECG analysis using computer-aided methods.