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DD-PRiSM: a deep learning framework for decomposition and prediction of synergistic drug combinations.
Brief Bioinform
November 2024
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea.
Combination therapies have emerged as a promising approach for treating complex diseases, particularly cancer. However, predicting the efficacy and safety profiles of these therapies remains a significant challenge, primarily because of the complex interactions among drugs and their wide-ranging effects. To address this issue, we introduce DD-PRiSM (Decomposition of Drug-Pair Response into Synergy and Monotherapy effect), a deep-learning pipeline that predicts the effects of combination therapy.
View Article and Find Full Text PDFMulti-omics models for predicting prognosis in non-small cell lung cancer patients following chemotherapy and radiotherapy: A multi-center study.
Radiother Oncol
January 2025
School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.
Background And Purpose: Quantifying tumor heterogeneity from various dimensions is crucial for precise treatment. This study aimed to develop and validate multi-omics models based on the computed tomography images, pathological images, dose and clinical information to predict treatment response and overall survival of non-small cell lung cancer (NSCLC) patients undergoing chemotherapy and radiotherapy.
Materials And Methods: This retrospective study included 220 NSCLC patients from three centers.
AZD2693, a PNPLA3 antisense oligonucleotide, for the treatment of MASH in 148M homozygous participants: two randomized phase I trials.
J Hepatol
January 2025
MASLD Research Center, Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, CA, USA.
Background & Aims: A common genetic variant (rs738409) encoding isoleucine to methionine at position 148 in the PNPLA3 protein is a determinant of hepatic steatosis, inflammation, fibrosis, cirrhosis, and liver-related mortality. AZD2693 is a liver-targeted antisense oligonucleotide against PNPLA3 mRNA. We evaluated the safety, tolerability, pharmacokinetics, and pharmacodynamics in single ascending dose (SAD) and multiple ascending dose (MAD) studies.
View Article and Find Full Text PDFAllocation of Semaglutide According to Coronary Artery Calcium and BMI: Applying the SELECT Trial to MESA.
JACC Cardiovasc Imaging
January 2025
Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address:
Background: Implementation of semaglutide weight loss therapy has been challenging due to drug supply and cost, underscoring a need to identify those who derive the greatest absolute benefit.
Objectives: Allocation of semaglutide was modeled according to coronary artery calcium (CAC) among individuals without diabetes or established atherosclerotic cardiovascular disease (CVD).
Methods: In this analysis, 3,129 participants in the MESA (Multi-Ethnic Study of Atherosclerosis) without diabetes or clinical CVD met body mass index criteria for semaglutide and underwent CAC scoring on noncontrast cardiac computed tomography.
Mitigating the Risk of QTc Prolongation When Using Haloperidol for Acute Treatment of Cannabinoid Hyperemesis Syndrome in Adolescents and Young Adults.
J Clin Med
December 2024
Department of Pharmacy, CHOC Children's Hospital, Orange, CA 92868, USA.
: Cannabinoid Hyperemesis Syndrome (CHS), associated with long-term cannabinoid use, has been increasingly observed in emergency room visits as more states in the U.S. have legislatively permitted medical and recreational marijuana use.
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