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Heterogeneity in phenotype, disease progression and drug response in type 2 diabetes
Type 2 diabetes (T2D) is a complex chronic disease characterized by considerable phenotypic heterogeneity. In this study, we applied a reverse graph...
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A mechanistic assessment of the nature of pharmacodynamic drug-drug interaction in vivo and in vitro
Combination pharmacotherapy is becoming increasingly necessary because most diseases are pathophysiologically controlled at the subcellular level by...
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Network-based drug sensitivity prediction
BackgroundDrug sensitivity prediction and drug responsive biomarker selection on high-throughput genomic data is a critical step in drug discovery....
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Distinct tumor microenvironment landscapes of rectal cancer for prognosis and prediction of immunotherapy response
PurposeTumor microenvironment (TME) affects the progression of rectal cancer (RC), and the clinical relevance of its immune elements was widely...
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A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia
The treatment landscape of acute myeloid leukemia (AML) is evolving, with promising therapies entering clinical translation, yet patient responses...
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Designing Optimum Drug Delivery Systems Using Machine Learning Approaches: a Prototype Study of Niosomes
This study demonstrates a machine learning approach in designing optimized drug formulations. Preferred Reporting Items for Systematic Reviews and...
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Determination of Anti-drug Antibody Affinity in Clinical Study Samples Provides a Tool for Evaluation of Immune Response Maturation
Characterization of clinical anti-drug antibody (ADA) responses to biotherapeutics can be important to understanding the consequences of...
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Risk model and factors for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer-a two-center cohort study
ObjectiveDue to inconsistency in neoadjuvant chemotherapy (NACT) response in advanced gastric cancer (GC), the indications remain the source of...
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Signature construction and molecular subtype identification based on liver-specific genes for prediction of prognosis, immune activity, and anti-cancer drug sensitivity in hepatocellular carcinoma
BackgroundLiver specific genes (LSGs) are crucial for hepatocyte differentiation and maintaining normal liver function. A deep understanding of LSGs...
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Evaluation of Metabolism-Dependent Drug Toxicity
Drug metabolism is well-established to play key roles in drug toxicity. Drug toxicity can be enhanced via biotransformation of a parent drug to...
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Biomarker discovery for practice of precision medicine in hypopharyngeal cancer: a theranostic study on response prediction of the key therapeutic agents
BackgroundHypopharyngeal cancer is a relatively rare malignancy with poor prognosis. Current chemotherapeutic algorithm is still far from...
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Comprehensive analysis reveals the potential value of inflammatory response genes in the prognosis, immunity, and drug sensitivity of lung adenocarcinoma
BackgroundAlthough the relationship between inflammatory response and tumor has been gradually recognized, the potential implications of of...
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Principles of Pharmacokinetics: The Dynamics of Drug Action
The term “pharmacokinetics” is derived from the ancient Greek words “pharmakon” and “kinetikos,” meaning “drug” and “putting in motion,”...
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Artificial intelligence for natural product drug discovery
Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential...
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Challenge-Enabled Machine Learning to Drug-Response Prediction
In recent decades, the advancement of computational algorithms and the availability of big data have enabled artificial intelligence (AI) to...
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Prediction of long-term humoral response induced by the two-dose heterologous Ad26.ZEBOV, MVA-BN-Filo vaccine against Ebola
The persistence of the long-term immune response induced by the heterologous Ad26.ZEBOV, MVA-BN-Filo two-dose vaccination regimen against Ebola has...
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Comprehensive analysis and validation of SNX7 as a novel biomarker for the diagnosis, prognosis, and prediction of chemotherapy and immunotherapy response in hepatocellular carcinoma
BackgroundStudies have demonstrated that Sorting nexin 7 (SNX7) functions as an anti-apoptotic protein in liver tissue and plays a crucial role in...
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Computer-Aided Drug Discovery and Design: Recent Advances and Future Prospects
Computer-aided drug discovery and design involve the use of information technologies to identify and develop, on a rational ground, chemical...
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Epilepsy and Prediction Devices
The unpredictable nature of epileptic seizures poses a significant challenge that can be effectively addressed through the development of a reliable...
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Diagnosis and Drug Prediction of Parkinson’s Disease Based on Immune-Related Genes
Parkinson’s disease (PD) is the second most common neurodegenerative disorder. Immune mechanisms play an important role in the development of PD. The...
