Austin Huang

TL;DR: It is found that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art.

TL;DR: In this article, the authors developed an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations.

TL;DR: The preponderance of evidence indicates that mask wearing reduces the transmissibility per contact by reducing transmission of infected droplets in both laboratory and clinical contexts, and recommends the adoption of public cloth mask wearing, as an effective form of source control.

TL;DR: The approach described here incorporates graph representations of both read differences and read overlap to conservatively determine the regions of the sequence with sufficient variability to separate quasispecies sequences, which is demonstrated by successfully applying it to simulations based on actual intra-patient clonal HIV-1 sequencing data.

TL;DR: Tenofovir‐containing regimens have demonstrated potential efficacy as pre‐exposure prophylaxis (PrEP) in preventing HIV‐1 infection and transmitted drug resistance mutations associated with ten ofovir, specifically the reverse transcriptase (RT) mutation K65R, may impact the effectiveness of PrEP.