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Purpose: Using electronic patient-reported outcomes (ePRO) in clinical trial has shown benefits for patients. However, the digital divide can lead to unequal access to telehealth. We investigated whether a dedicated support program could bridge that divide.

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Kaposi Sarcoma (KS) is a frequently aggressive malignancy caused by Kaposi sarcoma herpesvirus (KSHV/HHV-8). People with immunodeficiencies, including HIV, are at increased risk for developing KS, but our understanding of the contributions of the cellular genome to KS pathogenesis remains limited. To determine if there are cellular genetic alterations in KS that might provide biological or therapeutic insights, we performed whole exome sequencing on 78 KS tumors and matched normal control skin from 59 adults with KS (46 with HIV-associated KS and 13 with HIV-negative KS) receiving treatment at the Uganda Cancer Institute in Kampala, Uganda.

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Screening for pulmonary nodules (PN) using low-dose CT has proven effective in reducing lung cancer (LC) mortality. However, current treatments relying on follow-up and surgical excision fail to fully address clinical needs. Pathological angiogenesis plays a pivotal role in supplying oxygen necessary for the progression of PN to LC.

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Redox biomarker levels in patients with myelodysplastic syndrome.

Biomed Rep

March 2025

Department of Biochemistry and Biotechnology, University of Thessaly, Viopolis, Mezourlo, Larissa 41500, Greece.

Myelodysplastic syndrome (MDS) is a heterogeneous clonal disorder characterized by insufficient hematopoiesis, peripheral blood cytopenia and an increased risk for malignant transformation to acute myeloid leukemia. Several factors, such as age, sex and lifestyle, promote the development of MDS syndrome. Oxidative stress, along with its detrimental effects, cause hematological disorders; however, its role in the pathogenesis of MDS is unknown.

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scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder.

BMC Bioinformatics

January 2025

Department of Surgery, Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Background: Single-cell RNA sequencing (scRNA-seq) has transformed biological research by offering new insights into cellular heterogeneity, developmental processes, and disease mechanisms. As scRNA-seq technology advances, its role in modern biology has become increasingly vital. This study explores the application of deep learning to single-cell data clustering, with a particular focus on managing sparse, high-dimensional data.

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