Publications by authors named "Ram Gelman"

Introduction: The main obstacle in treating cancer patients is drug resistance. Lenvatinib treatment poses challenges due to loss of response and the common dose-limiting adverse events (AEs). The Constrained-disorder-principle (CDP)-based second-generation artificial intelligence (AI) systems introduce variability into treatment regimens and offer a potential strategy for enhancing treatment efficacy.

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Article Synopsis
  • Metabolic dysfunction-associated steatohepatitis is a severe form of nonalcoholic fatty liver disease linked to insulin resistance and inflammation, leading to major liver issues and transplants.
  • A clinical trial tested the safety of oral insulin in patients with this liver disease and type 2 diabetes, comparing it to a placebo over 12 weeks.
  • The findings showed insulin was safe and reduced liver fat and fibrosis more effectively than the placebo, suggesting it may help in treating this condition.
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Background: Current casualty care training modalities present several challenges, including limited simulation facilities, instructor dependence, lack of standardization, documentation of trainees' performance and training personalization. The study presents the design, development and preliminary evaluation of a novel hybrid training platform to address these challenges.

Methods: A mixed reality platform was chosen and developed to address field operators' requirements.

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Introduction: Diuretics are a mainstay therapy for congestive heart failure (CHF); however, over one-third of patients develop diuretic resistance. Second-generation artificial intelligence (AI) systems introduce variability into treatment regimens to overcome the compensatory mechanisms underlying the loss of effectiveness of diuretics. This open-labeled, proof-of-concept clinical trial sought to investigate the ability to improve diuretic resistance by implementing algorithm-controlled therapeutic regimens.

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Antimicrobial resistance results from the widespread use of antimicrobial agents and is a significant obstacle to the effectiveness of these agents. Numerous methods are used to overcome this problem with moderate success. Besides efforts of antimicrobial stewards, several artificial intelligence (AI)-based technologies are being explored for preventing resistance development.

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We report the case of a 29-year-old adult presenting with severe IgA vasculitis, with cutaneous, urologic, and renal manifestations. The late appearance of severe gastrointestinal bleeding dominated the clinical picture, necessitating the administration of tens of units of packed cells and the augmentation of the immunosuppressive protocol. It was not until therapy with intravenous immunoglobulin (IVIG) was introduced that the massive bleeding was controlled.

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We report a case of Staphylococcus warneri native valve endocarditis in an immunocompetent healthy adult, without known risk factors for infective endocarditis, two months following COVID-19 infection, who recovered with conservative treatment. Additionally, we reviewed previous cases of native valve endocarditis caused by Staphylococcus warneri and summarized the main clinical implications.

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The plateau effect in training is a significant obstacle for professional athletes and average subjects. It evolves from both the muscle-nerve-axis-associated performance and various cardiorespiratory parameters. Compensatory adaptation mechanisms contribute to a lack of continuous improvement with most exercise regimens.

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Antiphospholipid syndrome and cold agglutinin-mediated autoimmune hemolytic anemia are 2 distinct immune-mediated hematologic disorders. While no clear association exists between these 2 entities, complement activation is known to occur in both of them. Herein, we report a unique case of cold agglutinin hemolytic anemia in a patient with a known primary antiphospholipid syndrome.

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Background: We assessed outcome of patients with moderate and severe COVID-19 following treatment with convalescent plasma (CP) and the association with IgG levels in transfused CP.

Methods: A prospective cohort study. Primary outcome was improvement at day 14 defined as alive, not on mechanical ventilation, and moderate, mild, or recovered from COVID-19.

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Unlabelled: Knowledge of the outcomes of critically ill patients is crucial for health and government officials who are planning how to address local outbreaks. The factors associated with outcomes of critically ill patients with coronavirus disease 2019 (Covid-19) who required treatment in an intensive care unit (ICU) are yet to be determined.

Methods: This was a retrospective registry-based case series of patients with laboratory-confirmed SARS-CoV-2 who were referred for ICU admission and treated in the ICUs of the 13 participating centers in Israel between 5 March and 27 April 2020.

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The ongoing severe acute respiratory syndrome pandemic caused by the novel coronavirus 2 (SARS-CoV-2) is associated with high morbidity and mortality rates, and it has created a pressing global need for effective antiviral therapies against it. COVID-19 disease pathogenesis is characterized by an initial virus-mediated phase, followed by inappropriate hyperactivation of the immune system leading to organ damage. Targeting of the SARS-CoV-2 viral receptors is being explored as a therapeutic option for these patients.

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Background: Chronic lymphocytic leukemia (CLL) is characterized by a heterogeneous clinical course, ranging from stable to more aggressive disease. Herein, we determined the prognostic significance of serum C-reactive protein (CRP) levels in patients with CLL Methods: A retrospective cohort study reviewing the records of 107 consecutive treatment naïve patients with CLL and a control group comprised of apparently healthy individuals attending for periodic health examinations.

Results: The median CRP level of patients with CLL was 0.

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