Publications by authors named "M E Di Francesco"
One of the hallmarks of cancer is high levels of DNA replication stress and defects in the DNA damage response (DDR) pathways, which are critical for maintaining genomic integrity. Ataxia telangiectasia and Rad3-related protein (ATR) is a key regulator of the DDR machinery and an attractive therapeutic target, with multiple ATR inhibitors holding significant promise in ongoing clinical studies. Herein, we describe the discovery and characterization of ART0380 (), a potent and selective ATR inhibitor with a compelling in vitro and in vivo pharmacological profile currently undergoing Phase 2 clinical studies in patients with advanced or metastatic solid tumors as monotherapy and in combination with DNA-damaging agents (NCT04657068 and NCT05798611).
View Article and Find Full Text PDFBackground And Purpose: Clostridioides difficile infection (CDI) is a leading cause of healthcare-associated infections worldwide, with hypervirulent strains linked to severe disease and higher mortality. This study aims to analyze the epidemiology of CDI at a tertiary-care hospital in Italy and compare clinical outcomes between patients infected with hypervirulent and non-hypervirulent strains.
Methods: A retrospective comparative study was conducted on patients diagnosed with CDI at ASST Spedali Civili di Brescia, Italy, from January 2015 to June 2023.
Periodontitis, a chronic inflammatory disease, has been associated with an elevated risk of cardiovascular disease (CVD). Asymmetric dimethylarginine (ADMA), an endogenous inhibitor of nitric oxide synthase, has emerged as a potential biomarker linking periodontitis, endothelial dysfunction, and CVD. This systematic review aimed to synthesize the existing evidence on the relationship between ADMA, periodontitis, and CVD, and to evaluate ADMA's potential as a biomarker for periodontal disease progression and its correlation with endothelial dysfunction.
View Article and Find Full Text PDFArticle Synopsis
- AI has evolved since its introduction in 1956 and is now significantly impacting healthcare, especially in patient care and information management.
- Key AI functions like Machine Learning and Deep Learning, along with Biomimetic Intelligence, are being utilized to analyze medical data and create algorithms for better diagnosis and treatments.
- The rising incidence of chronic limb-threatening ischemia due to diabetes and aging populations presents a challenge that AI and BI can help address by improving treatment planning and resource integration for peripheral artery disease.