Recently published in the JCO Global Oncology, an article presents the development of artificial intelligence (AI) for the accurate detection of potentially cancerous nodules described in computed tomography (CT) reports, conducted outside of the cancer screening context. The technology is a Natural Language Processing (NLP) tool, trained to analyze chest CT reports. The study was conducted by the D'Or Institute for Research and Education (IDOR), in partnership with the Federal University of Health Sciences of Porto Alegre (UFCSPA), and the Universities of Florida and Stanford in the United States.

Brazilian researchers screened 160 compounds known to be effective against SARS-CoV-2 and identified those that also act against the protozoan parasite Toxoplasma gondii. The most promising will be tested in humans for treatment of the chronic form of the disease.

The study was conducted by researchers at the University of São Paulo, highlighting the importance of identify and isolating infected patients on admission to the emergency room. The findings also showed that containment may be impaired if patients stay more than two days in the ER.

A joint study by researchers from the D’Or Institute for Research and Education (IDOR), the Hospital Sírio Libanês, the Instituto do Coração (InCor), the Instituto do Câncer do Estado de São Paulo, both from the Hospital das Clínicas of the University of São Paulo Medical School and the Centro Paulista de Oncologia - Oncoclínicas, analyzed the relationship between sympathetic neural overload and exercise capacity in patients with heart failure with reduced ejection fraction (HFrEF) related to anthracycline chemotherapy. The study was published in the American Journal of Physiology-Heart and Circulatory Physiology.