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Context It remains to be determined exactly how the COVID-19 pandemic has and will continue to impact osteopathic resident education, in particular as it pertains to treatment with osteopathic manipulative medicine (OMM). Although the long-term effects of the pandemic cannot be determined yet, changes in current resident education can be analyzed. Objectives Here, we describe how the format, frequency, and environment of OMM training have changed in residency programs from prior to February 2020 to the “lockdown” period of February 2020 to June 2020, and then to the “recovery” period of July 2020 to February 2021. Methods A 19-question survey inquiring about the above three categories was emailed via SurveyMonkey to 282 Accreditation Council for Graduate Medical Education (ACGME) residency programs with osteopathic recognition at the end of January 2021. Results Of the 282 programs surveyed, 24.5% (69) responded. Osteopathic neuromusculoskeletal medicine (ONMM) programs were excluded from the data analysis, resulting in a modified sample size of n=60. Responses indicated that residency programs dramatically decreased the frequency of OMM didactic education sessions (100.0% [60] reported offering OMM didactic education before the lockdown period; compared to 73.3% [44] during the lockdown period) and shifted their educational programs from an in-person-only environment (88.3% [53] before lockdown; 8.3% [5] during lockdown) to either a combined in-person/virtual platform (6.7% [4] before lockdown; 31.7% [19] during lockdown) or to a virtual-only platform (0.0% [0] before lockdown; 46.7% [28] during lockdown). During the recovery period, 91.7% (55) programs reported giving some form of OMM didactic education. The percentage of programs reporting in-person-only, combined in-person/virtual platform, and virtual-only didactic education were 3.3% (2), 53.3% (32), and 41.7% (25), respectively, during the recovery period. The preferred method of instruction changed from a combination of resident and attending lectures with a hands-on component (55.0%; 33) before lockdown, to the same but without a hands-on component (28.3%; 17) during lockdown, and back to the same but with a hands-on component (36.7%; 22) during the recovery period. Furthermore, the number of programs offering OMM didactic education [OMM patient care] at least once a month decreased from 70.0% (42) [78.3% (47)] before the lockdown period to 46.7% (28) [48.3% (29)] during the lockdown period. It then increased to 55.0% (33) [73.3% (44)] during the recovery period. Finally, before the lockdown period, programs offered OMM patient care predominantly in a combination of an inpatient/outpatient environment (63.3%; 38). The preferred patient care setting changed to an outpatient-only environment (43.3%; 26) during the lockdown period and then back to a combination of an inpatient/outpatient environment (45.0%; 27) during the recovery period. Conclusions This study demonstrates that programs have been dramatically impacted by the COVID-19 pandemic, by the augmentation of the osteopathic learning environment, and by the delivery of OMM to patient care within the training programs. These impacts were still present 1 year after the start of the pandemic. It will be imperative for ACGME Osteopathic Recognition (ACGME-OR) programs to continue an assessment of these impacts on resident physicians’ learning and preparedness.

Recent interest in nanomedicine has skyrocketed because of mRNA vaccine lipid nanoparticles (LNPs) against COVID-19. Ironically, despite this success, the innovative nexus between nanotechnology and biochemistry, and the impact of nanoparticles on enzyme biochemical activity is poorly understood. The studies of this group on zinc nanoparticle (ZNP) compositions suggest that nanorod morphologies are preferred and that ZNP doped with manganese or iron can increase activity against model enzymes such as luciferase, DNA polymerase, and β-galactosidase (β-Gal), with the latter previously being associated with antimicrobial activity. SARS-CoV-2 encodes several of these types of oxido-reductase, polymerase, or hydrolase types of enzymes, and while metamaterials or nanoparticle composites have become important in many fields, their application against SARS-CoV-2 has only recently been considered. Recently, this group discovered the antiviral activity of manganese-doped zinc sulfide (MnZnS), and here the interactions of this nanoparticle composite with β-Gal, angiotensin converting enzyme (ACE), and human ACE2 (hACE2), the SARS-CoV-2 receptor, are demonstrated. Low UV, circular dichroism, and zeta potential results confirm their enzyme interaction and inhibition by fluorometric area under the curve (AUC) measurements. The IC

Microaggressions are brief, intended or unintended, commonplace verbal, behavioral, or environmental indignities that communicate derogatory, hostile, or negative insults and slights toward people who do not classify within the 'normative' standard. Those who microaggress are often unaware that they engage in such communications when they interact with people who differ from themselves. In the workforce, these interchanges are exacerbated, as issues regarding implicit biases tend to play themselves out in communal settings. In response to this, the discussion of microaggressions in its numerous forms, coupled with its manifestations in the workplace, adds to the growing knowledge base on aversive behavior and its short- and long-term impacts. The authors begin by investigating the residual effects of everyday “isms” on the work productivity and quality of life of those on the receiving end. They conclude with suggestions for institutional-level education, training, and research—specific to organizational settings—in the effort to reduce microaggressions in the professional environment.

With the latest advancements in optical bioimaging, rich structural and functional information has been generated from biological samples, which calls for capable computational tools to identify patterns and uncover relationships between optical characteristics and various biomedical conditions. Constrained by the existing knowledge of the novel signals obtained by those bioimaging techniques, precise and accurate ground truth annotations can be difficult to obtain. Here we present a weakly supervised Deep Learning framework for optical signature discovery based on inexact and incomplete supervision. The framework consists of a Multiple Instance Learning-based classifier for the identification of regions of interest in coarsely labeled images, and model interpretation techniques for optical signature discovery. We applied this framework to investigate human breast cancer-related optical signatures based on virtual histopathology enabled by simultaneous label-free autofluorescence multiharmonic microscopy (SLAM), with the goal to explore unconventional cancer-related optical signatures from normal-appearing breast tissues. The framework has achieved an average area under the curve (AUC) of 0.975 on the cancer diagnosis task. In addition to well-known cancer biomarkers, non-obvious cancer-related patterns were revealed by the framework, including NAD(P)H-rich extracellular vesicles observed in normal-appearing breast cancer tissue, which facilitate new insights into the tumor microenvironment and field cancerization. This framework can be further extended to diverse imaging modalities and optical signature discovery tasks.

A new series of 3,5-dimethyl-arylazopyrazoles (3a-h) was synthesized by reacting various oxobutyrates (2) with 4-methoxy benzhydrazide (1) in glacial acetic acid medium. The oxobutyrates were prepared by diazotization of substituted anilines and subsequent condensation with acetyl acetone in the alcohol medium. The new compounds were elucidated on the basis of IR, 1H-NMR and mass spectral data and the compounds were screened for their in vitro cytotoxic activity using MDA-MB-231 and MCF-7 cell lines. Some of the tested compounds showed weak to moderate cytotoxic effects.