Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.

Clinical trials involving systemic neoadjuvant treatments in breast cancer aim to shrink tumors before surgery while simultaneously allowing for controlled evaluation of biomarkers, toxicity, and suppression of distant (occult) metastatic disease. Yet neoadjuvant clinical trials are rarely preceded by preclinical testing involving neoadjuvant treatment, surgery, and post-surgery monitoring of the disease. Here we used a mouse model of spontaneous metastasis occurring after surgical removal of orthotopically implanted primary tumors to develop a predictive mathematical model of neoadjuvant treatment response to sunitinib, a receptor tyrosine kinase inhibitor (RTKI).

Conservative Management of Delayed Submucosal Bleeding after Per-Oral Endoscopic Myotomy: A Case Report.

Per-Oral Endoscopic Myotomy (POEM) is recognized as the first-line therapy for achalasia, considering its high clinical efficacy and safety. Among the most important adverse events, bleeding or hematoma in the submucosal tunnel has incidence of approximately 1%. We describe the case of woman affected by type II achalasia, treated with POEM, who presented delayed bleeding with submucosal hematoma after starting anticoagulant therapy with subcutaneous low molecular weight heparin (LMWH).

A Systematic Review of the Efficacy of Contingency Management for Substance Use Disorders in Low and Middle Income Countries.

Background: The impact of illicit substance use is especially devastating in low-resourced countries where factors such as poverty, unemployment, and inadequate services impede successful treatment. Contingency management (CM) is a treatment for substance use disorders that has shown to be effective in eliciting behaviour change. The efficacy of CM interventions in low and middle income countries (LMICs) has been under explored.

Incidence and Microbiology of Hospital-Acquired Infections in COVID-19 Patients between the First and the Second Outbreak of the SARS-CoV-2 Pandemic: A Retrospective, Observational Study.

With almost 638 million cases and over 6 million deaths worldwide, the SARS-CoV-2 pandemic represents an unprecedented healthcare challenge. Although the management and natural history of COVID-19 patients have changed after the introduction of active therapies and vaccination, the development of secondary infections complicates hospital stay. This is a single-center, retrospective, observational study that explores the incidence and microbiology of hospital-acquired infections (HAIs) in two subsequent populations of hospitalized patients with COVID-19.

Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases.

The use of in silico trials is expected to play an increasingly important role in the development and regulatory evaluation of new medical products. Among the advantages that in silico approaches offer, is that they permit testing of drug candidates and new medical devices using virtual patients or computational emulations of preclinical experiments, allowing to refine, reduce or even replace time-consuming and costly benchtop/in vitro/ex vivo experiments as well as the involvement of animals and humans in in vivo studies. To facilitate and widen the adoption of in silico trials, InSilicoTrials Technologies has developed a cloud-based platform, hosting healthcare simulation tools for different bench, preclinical and clinical evaluations, and for diverse disease areas.