How to Sequence Therapies in Mycosis Fungoides.

Choice of therapy in mycosis fungoides is based on both patient- and lymphoma-specific factors, such as disease characteristics, comorbidities, symptoms and effect on quality of life, potential associated toxicities of therapy, response and tolerance to prior lines of therapy, and convenience and practicality. Generally, we sequence therapies from least toxic, targeted, nonimmunosuppressive to more toxic, immunosuppressive and from single agent to multiple agents, as necessary. If more toxic, immunosuppressive agents are required to alleviate disease burden or symptoms, we generally use them just long enough to control the disease, then transition to a maintenance regimen with less toxic, less immunosuppressive agents.

The policy dimensions, regulatory landscape, and market characteristics of teledermatology in the United States.

The COVID-19 pandemic has spurred healthcare systems across the world to rapidly redesign their models of care delivery. As such, this pandemic has accelerated the adoption of teledermatology in the United States. However, it remains unknown whether this momentum will be maintained after the pandemic.

A time series analysis of immune checkpoint inhibitor use in the United States Medicare population: 2014-2019.

Background: The adoption of immune checkpoint inhibitors (ICIs) has dramatically transformed the treatment of numerous cancers. Medicare is the largest payer in the US and pays for physician-administered drugs through its medical Part B benefit. The aim of this study was to describe trends in ICI utilization and corresponding government expenditures within the US Medicare population.

Quantifying the Financial Value of Clinical Specialty Choice and Its Association With Competitiveness of Admissions.

Background The factors influencing medical student clinical specialty choice have important implications for the future composition of the US physician workforce. The objective of this study was to determine the career net present values (NPVs) of US medical students' clinical specialty choices and identify any relationships between a specialty's NPV and competitiveness of admissions as measured by the US Medical Licensing Examination (USMLE) Step 1 scores. Methodology NPVs were calculated using the results of the 2019 Doximity Physician Compensation report, a survey of 90,000 physicians.

Use of Skin Cancer Procedures, Medicare Reimbursement, and Overall Expenditures, 2012-2017.

This cohort study describes recent trends in use and payment rates and in overall expenditure for skin cancer procedures in the Medicare Part B population in the United States.

Trends in Medicare utilization and reimbursement for wound debridement procedures 2012-2017.

Wound care accounts for more than $6 billion of health expenditure in the United States annually. In addition, Medicare reimbursement per relative value unit has remained flat with respect to inflation over the past 20 years. Yet, physicians face increasing operating costs.

Deep learning for dermatologists: Part I. Fundamental concepts.

Artificial intelligence is generating substantial interest in the field of medicine. One form of artificial intelligence, deep learning, has led to rapid advances in automated image analysis. In 2017, an algorithm demonstrated the ability to diagnose certain skin cancers from clinical photographs with the accuracy of an expert dermatologist.

Deep learning for dermatologists: Part II. Current applications.

Because of a convergence of the availability of large data sets, graphics-specific computer hardware, and important theoretical advancements, artificial intelligence has recently contributed to dramatic progress in medicine. One type of artificial intelligence known as deep learning has been particularly impactful for medical image analysis. Deep learning applications have shown promising results in dermatology and other specialties, including radiology, cardiology, and ophthalmology.

A microbial expression system for high-level production of scFv HIV-neutralizing antibody fragments in Escherichia coli.

Monoclonal antibodies (mABs) are of great biopharmaceutical importance for the diagnosis and treatment of diseases. However, their production in mammalian expression hosts usually requires extensive production times and is expensive. Escherichia coli has become a new platform for production of functional small antibody fragment variants.

A general mechanism of ribosome dimerization revealed by single-particle cryo-electron microscopy.

Bacteria downregulate their ribosomal activity through dimerization of 70S ribosomes, yielding inactive 100S complexes. In Escherichia coli, dimerization is mediated by the hibernation promotion factor (HPF) and ribosome modulation factor. Here we report the cryo-electron microscopy study on 100S ribosomes from Lactococcus lactis and a dimerization mechanism involving a single protein: HPF.

Cost Savings Associated With Implementation of Peer-Reviewed Appropriate Use Criteria for Percutaneous Coronary Interventions.

Appropriate use criteria (AUC) for coronary revascularization have been developed to provide a practical standard to assess the quality of patient selection for percutaneous coronary interventions (PCI). However, the economic impact of AUC implementation has yet to be quantified. A peer-reviewed AUC process was implemented at UnityPoint Trinity in February 2012.

Protein costs do not explain evolution of metabolic strategies and regulation of ribosomal content: does protein investment explain an anaerobic bacterial Crabtree effect?

Protein investment costs are considered a major driver for the choice of alternative metabolic strategies. We tested this premise in Lactococcus lactis, a bacterium that exhibits a distinct, anaerobic version of the bacterial Crabtree/Warburg effect; with increasing growth rates it shifts from a high yield metabolic mode [mixed-acid fermentation; 3 adenosine triphosphate (ATP) per glucose] to a low yield metabolic mode (homolactic fermentation; 2 ATP per glucose). We studied growth rate-dependent relative transcription and protein ratios, enzyme activities, and fluxes of L.

Systematic identification of tRNAome and its dynamics in Lactococcus lactis.

Transfer RNAs (tRNAs) through their abundance and modification pattern significantly influence protein translation. Here, we present a systematic analysis of the tRNAome of Lactococcus lactis. Using the next-generation sequencing approach, we identified 40 tRNAs which carry 16 different post-transcriptional modifications as revealed by mass spectrometry analysis.

Regulation of acetate kinase isozymes and its importance for mixed-acid fermentation in Lactococcus lactis.

Acetate kinase (ACK) converts acetyl phosphate to acetate along with the generation of ATP in the pathway for mixed-acid fermentation in Lactococcus lactis. The reverse reaction yields acetyl phosphate for assimilation purposes. Remarkably, L.

Lactococcus lactis YfiA is necessary and sufficient for ribosome dimerization.

Dimerization and inactivation of ribosomes in Escherichia coli is a two-step process that involves the binding of ribosome modulation factor (RMF) and hibernation promotion factor (HPF). Lactococcus lactis MG1363 expresses a protein, YfiA(L) (l) , which associates with ribosomes in the stationary phase of growth and is responsible for dimerization of ribosomes. We show that full-length YfiA(L) (l) is necessary and sufficient for ribosome dimerization in L.