Prostate cancer is the most prevalent malignant tumor among men, ranking first in incidence and second in mortality globally. Novel hormone therapies (NHT) targeting the androgen receptor (AR) pathway have become the standard of care for metastatic prostate cancer. This review offers a comprehensive overview of NHT, including abiraterone, enzalutamide, apalutamide, darolutamide, and rezvilutamide, which have demonstrated efficacy in delaying disease progression and improving patient survival and quality of life. Nevertheless, resistance to NHT remains a critical challenge. The mechanisms underlying resistance are complex, involving AR gene amplification, mutations, splice variants, increased intratumoral androgens, and AR-independent pathways such as the glucocorticoid receptor, neuroendocrine differentiation, DNA repair defects, autophagy, immune evasion, and activation of alternative signaling pathways. This review discusses these resistance mechanisms and examines strategies to counteract them, including sequential treatment with novel AR-targeted drugs, chemotherapy, poly ADP-ribose polymerase inhibitors, radionuclide therapy, bipolar androgen therapy, and approaches targeting specific resistance pathways. Future research should prioritize elucidating the molecular basis of NHT resistance, optimizing existing therapeutic strategies, and developing more effective combination regimens. Additionally, advanced sequencing technologies and resistance research models should be leveraged to identify novel therapeutic targets and improve drug delivery efficiencies. These advancements hold the potential to overcome NHT resistance and significantly enhance the management and prognosis of patients with advanced prostate cancer.

Ultrasonic estimation of fetal weight is important in the management o f labor and delivery. Lots of charts and formulas have been put forward in virtu e of regression methods. Artificial neural network, a kind of computer artificia l intelligence technology, can simulate human thinking based on neural structure and physiology. With the excellence in complex and non-linear information proce ssing, artificial neural network is fitter for the forecasting of fetal weight t han traditional regression methods.

Objective To investigate prognostic factors in patients receiving mechanical ventilation. Methods 91 patients receiving mechanical ventilation from Jan 2002 to May 2004 were divided into two groups: death group and survival group. The patients' clinical data were retrospectively analyzed by Logistic regression method. Results Of the 98 patients, 48 cases (52.7%) died in the ICU, and 43 cases (47.3%)were survival. By means of single factor analysis, differences in total hospitalized time, time stayed in ICU,active partial thromboplastin time, red cell count, the level of haemoglobin and blood glucose, and Acute Physiology and Chronic Health Evaluation (APACHE) II scores between the two groups were significant (P

This paper introduces the applications of network technology, wire and wireless technologies to designs of medical equipments. The theories and applications of such technologies are presented as the ones of serial communication, concurrent communication, USB interface, Bluetooth HomeRF, wireless network communication and GPRS.