Esma Herzel

TL;DR: Naturally acquired immunity confers stronger protection against infection and symptomatic disease caused by the Delta variant of SARS-CoV-2, compared to the BNT162b2 2-dose vaccine-indued immunity.

TL;DR: The algorithm, which combined machine-learning and deep-learning approaches, can be applied to assess breast cancer at a level comparable to radiologists and has the potential to substantially reduce missed diagnoses of breast cancer.

TL;DR: It is found that treatment-induced emergence of resistance could be predicted and minimized at the individual-patient level and machine learning–personalized antibiotic recommendations were developed, offering a means to reduce the emergence and spread of resistant pathogens.

TL;DR: Using a national database in Israel, the incidence rates of SARS-CoV-2 reinfection in persons who were previously infected with SARS, but did not receive subsequent vaccination were compared with those who received a single dose of the BNT162b2 messenger RNA vaccine.

TL;DR: It is found that most of the cancers detected by the AI were visible post-hoc, and the AI safety net was able to assist 3 out of the 5 radiologists in detecting missed cancers without raising any false alerts.