Thyroid cancer is one of the most prevalent cancers in the world, accounting for the increased sensitivity of diagnostic assessments, the environment, and extensive imaging. While open thyroidectomy still forms the base surgical treatment of differentiated thyroid carcinoma (DTC), its visible scarring and postoperative morbidity have mandatorily propelled a longitudinal shift to minimally invasive techniques. Robotic thyroidectomy using the bilateral axillo-breast approach (BABA) is an emerging transformative technique that combines robotic precision and visualization with oncologic efficacy and superior cosmetic outcomes to enhance recovery. Molecular diagnostics such as next-generation sequencing (NGS) and microRNA classifiers have transformed preoperative planning. These tools aid in accurate risk stratification, enabling clinicians to determine the course of surgery and avoid overtreatment. Artificial intelligence (AI) enhances precision medicine by improving nodule classification, predicting surgical risks, providing intraoperative navigation guidance, and supporting postoperative histopathological evaluations. Despite these innovations, cost, accessibility, and ethical governance issues highlight persistent challenges. This review consolidates the current state of robotic-assisted surgery for thyroid cancer with molecular profiling and AI. It proposes future aims and strides toward precision surgery that is accessible worldwide.

The structures and activities of enzymes are influenced by pH of the environment. Understanding and distinguishing the adaptation mechanisms of enzymes to extreme pH values is of great significance for elucidating the molecular mechanisms and promoting the industrial applications of enzymes. In this study, the ESM-2 protein language model was used to encode the secreted microbial proteins with the optimal performance above pH 9 and below pH 5, which yielded 47 725 high-pH protein sequences and 66 079 low-pH protein sequences, respectively. A deep learning model was constructed to identify protein acid-base tolerance based on amino acid sequences. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 94.8%, precision of 91.8%, and a recall rate of 93.4% on the test set. Furthermore, we built a website (https://enzymepred.biodesign.ac.cn), which enabled users to predict the acid-base tolerance by submitting the protein sequences of enzymes. This study has accelerated the application of enzymes in various fields, including biotechnology, pharmaceuticals, and chemicals. It provides a powerful tool for the rapid screening and optimization of industrial enzymes.
Deep Learning ; Hydrogen-Ion Concentration ; Amino Acid Sequence ; Enzymes/metabolism* ; Sequence Analysis, Protein ; Proteins/metabolism* ; Bacterial Proteins/metabolism*

Objective To study the mechanism of effects of estrogen receptor (ER) on T and B lymphocytes in patients with SLE and synergistic effect of T and B lymphocytes in the pathogenesis of SLE.Methods Real-time fluorescence quantitative PCR was performed to detect the mRNA expressions of ER-α,interleukin 10 (IL-10) and B lymphocyte stimulator (BLyS) in peripheral blood mononuclear cells (PBMCs)from 40 SLE patients and 40 normal human controls. The clinical and laboratory correlation with the levels of these parameters was analyzed. Results A significant increase was observed in the relative expression levels of ER-α, IL-10 and BLyS mRNA in SLE patients compared with the normal human controls (P ＜ 0.05 or 0.01 ), in active SLE patients compared with inactive SLE patients (P ＜ 0.05 or 0.01 ). Additionally, the mRNA expression levels of the 3 parameters were significantly correlated with the presence of renal damage, proteinuria, arthritis, etc. No statistical difference was observed in the mRNA expression levels of these parameters between female and male patients or between female and male normal controls. Conclusions IL-10 and BLyS appear to be correlated with the disease activity and severity of SLE, and ER-α may play an important role in the action mechanism of T and B lymphocytes in SLE.