AIMC Topic: Drug Combinations
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The advantages of combination therapy on hypertension: development of immediate release perindopril-indapamide tablet and assessment of bioequivalence studies.
Pharmaceutical development and technology
Oct 13, 2015
Hypertension has a major associated risk for organ damage and mortality, which is further heightened in patients with prior cardiovascular events, comorbid diabetes mellitus, microalbuminuria and renal impairment. Convers Plus tablet including perind...
Pharmacokinetics of aclidinium bromide/formoterol fumarate fixed-dose combination compared with individual components: A phase 1, open-label, single-dose study.
Clinical pharmacology in drug development
Aug 24, 2015
Inhaled, long-acting bronchodilators represent a cornerstone of maintenance treatment for chronic obstructive pulmonary disease (COPD). Aclidinium bromide/formoterol fumarate 400/12 μg fixed-dose combination (FDC) has recently been licensed for use i...
Scaling up drug combination surface prediction.
Briefings in bioinformatics
Mar 4, 2025
Drug combinations are required to treat advanced cancers and other complex diseases. Compared with monotherapy, combination treatments can enhance efficacy and reduce toxicity by lowering the doses of single drugs-and there especially synergistic com...
DD-PRiSM: a deep learning framework for decomposition and prediction of synergistic drug combinations.
Briefings in bioinformatics
Nov 22, 2024
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 i...
Antiviral Effectiveness, Clinical Outcomes, and Artificial Intelligence Imaging Analysis for Hospitalized COVID-19 Patients Receiving Antivirals.
Influenza and other respiratory viruses
Sep 1, 2024
INTRODUCTION: There is still a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID-19 hospitalized patients.
Retrospective Studies
Tomography, X-Ray Computed
Female
SARS-CoV-2
Humans
Artificial Intelligence
Pandemics
COVID-19
Treatment Outcome
Male
Drug Combinations
Middle Aged
Ritonavir
Coronavirus Infections
Lung
COVID-19 Drug Treatment
Antiviral Agents
Betacoronavirus
Pneumonia, Viral
Hospitalization
Aged
Adult
[A Case of Gastric Cancer with Pulmonary Carcinomatous Lymphangitis and Disseminated Carcinomatosis of the Bone Marrow Responding to S-1 plus Cisplatin Chemotherapy].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2023
A 63-year-old man was admitted to a hospital owing to shortness of breath. He was diagnosed as having gastric cancer with pulmonary carcinomatous lymphangitis(PCL)and disseminated carcinomatosis of the bone marrow(DCBM). Regarding tumor markers, carc...
Efficacy and Tolerability of Tenofovir/Lamivudine/Dolutegravir among Antiretroviral Therapy Naive Human Immunodeficiency Virus Infected Patients of a Tertiary Care Center in Eastern India.
The Journal of the Association of Physicians of India
Sep 1, 2023
BACKGROUND: Although many drug regimens have been used in the treatment of human immunodeficiency virus (HIV) infection, the National AIDS Control Organization (NACO) of India recommends the use of a fixed-dose combination of tenofovir/lamivudine/dol...
DeepTraSynergy: drug combinations using multimodal deep learning with transformers.
Bioinformatics (Oxford, England)
Aug 1, 2023
MOTIVATION: Screening bioactive compounds in cancer cell lines receive more attention. Multidisciplinary drugs or drug combinations have a more effective role in treatments and selectively inhibit the growth of cancer cells.
MARSY: a multitask deep-learning framework for prediction of drug combination synergy scores.
Bioinformatics (Oxford, England)
Apr 3, 2023
MOTIVATION: Combination therapies have emerged as a treatment strategy for cancers to reduce the probability of drug resistance and to improve outcomes. Large databases curating the results of many drug screening studies on preclinical cancer cell li...
CCSynergy: an integrative deep-learning framework enabling context-aware prediction of anti-cancer drug synergy.
Briefings in bioinformatics
Jan 19, 2023
Combination therapy is a promising strategy for confronting the complexity of cancer. However, experimental exploration of the vast space of potential drug combinations is costly and unfeasible. Therefore, computational methods for predicting drug sy...
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