Publications by authors named "I N Frank"
Background: To help inform COVID-19 vaccination recommendations, we evaluated the impact of age and dosing interval on clinical benefit of a third dose of mRNA-1273.
Methods: Approximately 17 000 participants from the phase 3 Coronavirus Efficacy trial who previously received 2 doses of 100 µg mRNA-1273 were evaluated for COVID-19 between September 2021 and April 2022 during uptake of a third booster dose of 50 µg of mRNA-1273. Cox models assessed booster relative efficacy of a third dose.
Purpose: Perioperative blood transfusion has been reported in > 50% of patients undergoing radical cystectomy (RC). Unfortunately, perioperative blood transfusion (PBT) in patients undergoing RC has been associated with poor oncological outcomes. Tranexamic acid (TXA) use has been proposed to decrease the need for PBT.
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- To prevent HIV-1 transmission, high levels of broadly neutralizing antibodies are necessary at mucosal sites of exposure, particularly in the colorectal and genitourinary tracts.
- A study compared the biodistribution of two monoclonal antibodies, VRC01 and its longer-lasting variant VRC01LS, over 1-52 weeks post-infusion, finding VRC01LS levels significantly higher in various tissues at earlier and later time points.
- While both antibodies are mainly retained in rectal and cervical tissue, only a small percentage reaches seminal and rectal secretions; VRC01LS shows a longer elimination half-life, indicating its potential for sustained protection against HIV-1.
Background: Neoadjuvant platinum-based chemotherapy offers a modest survival advantage in muscle-invasive bladder cancer (MIBC) for patients with pathologic response. B7-H3 (), an immune checkpoint overexpressed in various cancers, including urothelial-cell carcinoma (UCC), has been associated with chemoresistance and poor oncologic outcomes. We aimed to explore if B7H3 expression on bladder biopsy samples was a predictive biomarker for pathologic response to neoadjuvant platinum-based chemotherapy.
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- The study aimed to use AI algorithms on CT images to measure muscle and fat areas in patients before radical cystectomy (RCx) and link these measurements to complications after surgery.
- It analyzed data from 843 RCx patients between 2009 and 2017 and found that higher levels of certain types of fat were linked to increased complications, while higher skeletal muscle was associated with fewer complications.
- The findings suggest that AI-derived body composition information could help tailor patient care and improve pre-operative counseling by considering both physical metrics and other patient factors.