Disease progression modeling with temporal realignment: An emerging approach to deepen knowledge on chronic diseases
H Yoshioka, R Jin, A Hisaka, H Suzuki - Pharmacology & Therapeutics, 2024 - Elsevier
The recent development of the first disease-modifying drug for Alzheimer's disease
represents a major advancement in dementia treatment. Behind this breakthrough is a …
represents a major advancement in dementia treatment. Behind this breakthrough is a …
Applications of model simulation in pharmacological fields and the problems of theoretical reliability
Y Kariya, M Honma - Drug Metabolism and Pharmacokinetics, 2024 - Elsevier
The use of mathematical models has become increasingly prevalent in pharmacological
fields, particularly in drug development processes. These models are instrumental in tasks …
fields, particularly in drug development processes. These models are instrumental in tasks …
Predictive models and applicability of artificial intelligence-based approaches in drug allergy
R Núñez, I Doña, JA Cornejo-García - Current Opinion in Allergy …, 2024 - journals.lww.com
Predictive models and applicability of artificial intelligence-based approaches in drug allergy
Page 1 ACI 240410 CURRENT OPINION Predictive models and applicability of artificial …
Page 1 ACI 240410 CURRENT OPINION Predictive models and applicability of artificial …
Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets
J Bonnell, O Alcazar, B Watts, P Buchwald… - Biomedicines, 2024 - mdpi.com
Background: Type 1 diabetes (T1D) is a devastating autoimmune disease, and its rising
prevalence in the United States and around the world presents a critical problem in public …
prevalence in the United States and around the world presents a critical problem in public …
Circumventing glioblastoma resistance to temozolomide through optimal drug combinations designed by quantitative systems pharmacology and machine learning
S Corridore, M Verreault, H Martin, T Delobel… - bioRxiv, 2024 - biorxiv.org
Glioblastoma is currently associated to a dismal prognosis despite intensive treatment
involving maximal-safe surgery, radiotherapy and temozolomide (TMZ)-based …
involving maximal-safe surgery, radiotherapy and temozolomide (TMZ)-based …
Machine Learning-Based Prediction of Hashimoto Thyroiditis Development Risk
LJ de Oliveira Andrade, GC Matos de Oliveira… - medRxiv, 2024 - medrxiv.org
Introduction: Hashimoto Thyroiditis (HT) is a prevalent autoimmune disorder impacting
thyroid function. Early detection allows for timely intervention and improved patient …
thyroid function. Early detection allows for timely intervention and improved patient …
Advancing Cancer Care: Precision Medicine and Machine Learning for Patient Stratification
W Ali, S Iqbal - Social Sciences Spectrum, 2023 - sss.org.pk
Precision medicine holds promise for revolutionizing cancer care by tailoring treatments to
individual patients based on their unique genetic and molecular profiles. However, realizing …
individual patients based on their unique genetic and molecular profiles. However, realizing …
[引用][C] Artificial Intelligence/Machine Learning: The New Frontier of Clinical Pharmacology and Precision Medicine
Q Liu, A Joshi, JF Standing… - Clinical Pharmacology …, 2024 - Wiley Online Library
Pharmacology & Therapeutics (CPT) is dedicated to AI/ML Innovations (Figure 1),
showcasing a wide range of opportunities for applying these technologies in clinical …
showcasing a wide range of opportunities for applying these technologies in clinical …