Global Intelligence Database
Not all sepsis survivors face the same future. New research shows that patients can be classified into five distinct subtypes at hospital discharge, which powerfully predict their risk of death and long-term disability, paving the way for more personalised aftercare.
By Flick, Kamphuis, Valley, Armstrong-Hough, Iwashyna
Researchers leveraged machine learning and deep learning to analyze eating disorder discourse on Chinese social media, identifying key themes and providing a scalable framework for detection. This innovative approach offers crucial insights into culturally specific symptom expressions and psychosocial concerns, paving the way for more effective public health surveillance and interventions in China.
By Zhang, Luo, Zhang, Ji, He
The Italian National Institute of Health has ratified updated GRADE-based protocols mandating visceral fat measurement alongside BMI. These directives establish a legal and clinical framework prioritising cognitive-behavioural lifestyle interventions before escalating to pharmacological or surgical options.
By Barazzoni, Buscemi, Busetto, Sbraccia, Bo, Cereda, Chianelli, Chiappetta, Grave, de Caro, Docimo, Galloro, Iannone, Leonetti, Lisso, Manca, Medea, Merli, Moretti, Navarra, Pagotto, Paolini, Papa, Perrotta, Pession, Pilone, Provenzano, Rizzo, Santomauro, Segura Garcia, Spandonaro, Sukkar, Todisco, Tuccinardi, Vania, Vanzi, Williams, Zani, Ragghianti, Silverii, Belluzzi, Masulli, Redini, Monami