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Functioning during the epidemic and confronting the risk of rapid deterioration in patients'condition clearly pointed out the necessity of creating psychiatric wards within the multispecialty hospitals. The requirement for ensuring separate spaces for patients with SARS-CoV-2 infection or with exclusion thereof should be considered in the psychiatric reform which assumes the regional responsibility of stationary wards.The third part of the triptych of my 50-year activity in psychiatry is about psychopharmacology. This way of treatment changed the picture of contemporary psychiatry. The introduction of neuroleptic (antipsychotic) drugs and tricyclic antidepressants in the 1950s resulted in a therapeutic revolution and contributed to the ‛medicalization' of psychiatry and its therapeutic similarity to other non-surgical specialties. Adiscovery of prophylactic lithium activity in the1960s initiated the mood-stabilizing drugs.During the last half-century, the most dynamic was the 1990s when most antipsychotic and antidepressant drugs of the so-called new generation were introduced. The twenty-first century marks a debut of next antidepressant and antipsychotic drugs, some of the latter having long-acting injectable preparations. An interesting event was a demonstration of the antidepressant activity of ketamine. My research domain in psychopharmacology was lithium treatment of affective illnesses. Necrosulfonamide Lithium makes the topic of many papers I authored, more than 150 of them are in the PubMed database. Many clinical and research aspects related to lithium administration have been reported as first in Polish literature and some are pioneering in the world. Recently, I wrote the book Lithium - the amazing drug in psychiatry which has also its English version. I have carried much research on antidepressant drugs, pharmacotherapy of treatment-resistant depression, and mood-stabilizing drugs for which I proposed a modern classification. I participated in European projects EUFEST and OPTIMISE on the optimization of using antipsychotic drugs in schizophrenia. I also performed much research on the antidepressant effect of ketamine and electroconvulsive therapy.no summary.This year's summit was unique given the COVID-19 pandemic a major global outbreak that has imposed severe restrictions in all aspects of our life. At the outset, we were faced with three mutually exclusive options. First option was to cancel the summit in its entirety this was the easiest and most obvious choice once the COVID-19 pandemic forced a near total lockdown all over the country with unprecedented disruptions of normal daily activities as the disease announced its thunderous touchdown on United States (US) soil. It was also the most-logical response faced with uncertainty regarding summit logistics and expected poor attendance due to the raging pandemic. Second option was to conduct a digital summit restricted to local audiences at Baylor College of Medicine this option entailed implementing a virtual summit with attendance restricted to participants from our institution only. It sounded like a reasonable choice but that would impede the presence of diversity of topics, perspectives, insights and exp encompassing health disparities in relation to cancers, nutrition, musculo-skeletal disorders, amputation rates, vaccination uptakes and COVID-19 infections. Various solutions were passionately presented to address these disparities including novel health technologies, community engagement and partnerships, improvement in health literacy and alternative therapeutics. There were no hitches despite the complex breakout sessions, and above all, attendees were satisfied and offered outstanding evaluation scores. This was definitely a summit that metamorphosed from pessimism to a triumphant success! Copyright © 2020 Salihu et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in this journal, is properly cited.

Due to the COVID-19 pandemic, the demand for remote electrocardiogram (ECG) monitoring has increased drastically in an attempt to prevent the spread of the virus and keep vulnerable individuals with less severe cases out of hospitals. Enabling clinicians to set up remote patient ECG monitoring easily and determining how to classify the ECG signals accurately so relevant alerts are sent in a timely fashion is an urgent problem to be addressed for remote patient monitoring (RPM) to be adopted widely. Hence, a new technique is required to enable routine and widespread use of RPM, as is needed due to COVID-19.

The primary aim of this research is to create a robust and easy-to-use solution for personalized ECG monitoring in real-world settings that is precise, easily configurable, and understandable by clinicians.

In this paper, we propose a Personalized Monitoring Model (PMM) for ECG data based on motif discovery. Motif discovery finds meaningful or frequently recurring patterns in patient ECG readings. Theng and the skills needed to configure, understand, and even trust existing black box machine learning models.

Our proposed PMM almost eliminates many of the training and small sample issues associated with GMMs. It also addresses accuracy and computational cost issues of the GMM, caused by the uniqueness of heartbeats and training issues. In addition, it addresses the fact that doctors and nurses typically do not have data science training and the skills needed to configure, understand, and even trust existing black box machine learning models.

Leukocyte telomere length (LTL) is one of the markers of biological aging as shortening occurs over time. Shorter LTL has been associated with adiposity and a higher risk of cardiovascular diseases. The objective was to assess LTL and LTL shortening during the first 2 years of life in healthy, term-born infants and to associate LTL shortening with potential stressors and body composition.

In 145 healthy, term-born infants (85 boys), we measured LTL in blood, expressed as telomere to single-gene copy ratio (T/S ratio), at 3 months and 2 years by quantitative PCR technique. Fat mass (FM) was assessed longitudinally by PEAPOD, DXA, and abdominal FM by ultrasound.

LTL decreased by 8.5% from 3 months to 2 years (T/S ratio 4.10 vs 3.75, p<0.001). LTL shortening from 3 months to 2 years associated with FM%(R = 0.254), FM index(R = 0.243) and visceral FM(R = 0.287) at 2 years. LTL shortening tended to associate with gain in FM% from 3 to 6 months (R = 0.155, p = 0.11), in the critical window for adiposity programming.