MED-ChatGPT CoPilot: a ChatGPT medical assistant for case mining and adjunctive therapy.

Background: The large-scale language model, GPT-4-1106-preview, supports text of up to 128 k characters, which has enhanced the capability of processing vast quantities of text. This model can perform efficient and accurate text data mining without the need for retraining, aided by prompt engineering.

Method: The research approach includes prompt engineering and text vectorization processing.

Observational study on the potential mechanism of Sanao decoction in the treatment of asthma based on network pharmacology and molecular docking.

Bronchial asthma (BA) is a chronic respiratory disease closely related to immune system dysregulation. Traditional Chinese medicine has long adopted the strategy of Sanao decoction in the treatment of bronchial asthma. However, due to the multi-target and multi-pathway characteristics of Chinese herbal medicine, we are still unclear about the specific mechanism of Sanao decoction in treating bronchial asthma.

Synergistic effects of LY294002 and ABT199 on the cell cycle in K562, HL60 and KG1a cells.

The aim of the present study was to investigate the synergistic effect of LY294002 (a PI3K inhibitor) and ABT199 (a BCL2 inhibitor) on the cell cycle in acute myeloid leukemia (AML). The optimal concentration and duration of combined LY294002 and ABT199 were determined in human erythroleukemia (K562), promyelocytic leukemia (HL60) and myeloid leukemia (KG1a) cell lines. The mRNA and protein expression levels of cell cycle‑related molecules, including S‑phase kinase‑associated protein 2 (Skp2), p27, BCL2, Bax, cleaved caspase 3 (caspase‑3) and caspase 9 (caspase‑9) were detected via reverse transcription‑quantitative PCR and western blot analysis, respectively.