Publications by authors named "Yevgeniy Semenov"

Article Synopsis
  • Researchers developed an advanced algorithm for accurately identifying patients with post-acute sequelae of COVID-19 (PASC) using data from over 295,000 patients across various health facilities in Massachusetts.
  • The new phenotyping algorithm enhances precision in estimating the prevalence of PASC and reduces demographic bias, identifying over 24,000 patients with an accuracy of 79.9%.
  • This method paves the way for deeper studies into the complexities of PASC by providing reliable patient cohorts, surpassing limitations found in previous studies.
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Cutaneous imaging is a central tenant to the practice of dermatology. In this article, the authors explore various noninvasive and invasive skin imaging techniques, as well as the latest deployment of these technologies in conjunction with the use artificial intelligence and machine learning. The authors also provide insight into the benefits, limitations, and challenges around integrating these technologies into dermatologic practice.

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Background: Although the recent drop in melanoma mortality has been attributed to the introduction of newer therapies, the impact of ongoing public efforts remains unknown.

Objective: Characterize and model melanoma mortality trends before the era of molecular and immune therapies (1969-2014) in the U.S.

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Background: Understanding co-occurrence patterns and prognostic implications of immune-related adverse events is crucial for immunotherapy management. However, previous studies have been limited by sample size and generalisability. In this study, we leveraged a multi-institutional cohort and a population-level database to investigate co-occurrence patterns of and survival outcomes after multi-organ immune-related adverse events among recipients of immune checkpoint inhibitors.

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The extent to which the geographic diversity of the US plays a significant role in melanoma incidence and mortality over time has not been precisely characterized. We obtained age-adjusted melanoma data for the 50 states between 2001 and 2019 from the Surveillance, Epidemiology, and End Results registry and performed hierarchical clustering (complete linkage, Euclidean space) to uncover geo-temporal trend groups over 2 decades. While there was a global increase in incidence during this time (b = +0.

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Chronic inflammation is a major cause of cancer worldwide. Interleukin 33 (IL-33) is a critical initiator of cancer-prone chronic inflammation; however, its induction mechanism by environmental causes of chronic inflammation is unknown. Herein, we demonstrate that Toll-like receptor (TLR)3/4-TBK1-IRF3 pathway activation links environmental insults to IL-33 induction in the skin and pancreas inflammation.

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Article Synopsis
  • - Cancer occurs in a complex environment where malignant cells interact with other cells, necessitating advanced methods to analyze these relationships effectively.
  • - The study presents SpatialCells, an open-source software that automates the exploration and characterization of tumor microenvironments using detailed single-cell data.
  • - SpatialCells can handle samples with millions of cells, aiding in feature extraction and enabling better understanding of tumor growth, invasion, and metastasis through further analyses and predictions.
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Scalable identification of patients with the post-acute sequelae of COVID-19 (PASC) is challenging due to a lack of reproducible precision phenotyping algorithms and the suboptimal accuracy, demographic biases, and underestimation of the PASC diagnosis code (ICD-10 U09.9). In a retrospective case-control study, we developed a precision phenotyping algorithm for identifying research cohorts of PASC patients, defined as a diagnosis of exclusion.

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Using a population-level cohort analysis, our study demonstrates that, although rare, autoimmune cutaneous connective tissue diseases (AiCTDs) in the setting of immune checkpoint inhibitors (ICIs) are not associated with a greater risk of mortality and overall approach a statistically significant decrease in mortality when compared with patients treated with ICIs who do not experience cutaneous immune-related adverse events. These findings are significant and highly relevant to dermatologists and oncologists caring for ICI recipients as it adds to the limited information on development of cutaneous AiCTD following ICI administration, for which enhanced understanding is critical to improving the care for this challenging patient population.

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With an increasing number of patients eligible for immune checkpoint inhibitors, the incidence of immune-related adverse events (irAEs) is on the rise. Dermatologic immune-related adverse events (D-irAEs) are the most common and earliest to manifest, often with important downstream consequences for the patient. Current guidelines lack clarity in terms of diagnostic criteria for D-irAEs.

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Article Synopsis
  • Cutaneous immune-related adverse events (cirAEs) are common toxicities in patients undergoing immune checkpoint inhibitor (ICI) therapy, affecting quality of life and outcomes.
  • A study involving 3668 ICI therapy recipients aimed to identify which cancer types and histologies are more likely to develop cirAEs and how this impacts survival.
  • Results showed that certain cancers, particularly cutaneous squamous cell carcinoma and melanoma, had a significantly higher risk of cirAEs, which were associated with better survival rates for these patients.
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Article Synopsis
  • Cancer is a complex environment where cancerous and non-cancerous cells interact, necessitating advanced tools to analyze this intricate landscape using new imaging technologies.* -
  • The study presents SpatialCells, an open-source software that allows researchers to analyze and characterize tumor microenvironments using detailed single-cell data.* -
  • SpatialCells automates the extraction of important features from large datasets and assists in further analyses, enhancing our understanding of how tumors grow and spread.*
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Background: Oral tetracyclines (TCNs) are commonly prescribed for acne, but they have been shown to increase the risk of hyperpigmentation, particularly in the setting of sun exposure.

Objective: We evaluated seasonal trends in TCN-associated hyperpigmentation incidence in addition to Google search trends for hyperpigmentation-related terms.

Methods: We performed a retrospective review of acne patients seen at Massachusetts General Brigham and Women’s Hospital between 1992 and 2022.

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