Results 111 to 120 of about 213,913 (289)
BioMed Research International, 2019 Glioblastoma (GBM) is the most common and malignant intracranial tumor in adults. Despite continuous improvements in diagnosis and therapeutic method, the prognosis is still far away from expectations. The invasive phenotype of GBM is the main reason for
Yang Song +8 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
International Journal of Nanomedicine, 2019 James G Shamul,1,2,* Sagar R Shah,1–3,* Jayoung Kim,1,2 Paula Schiapparelli,3 Carla A Vazquez-Ramos,3 Ben J Lee,1,2 Kisha K Patel,1,2 Alyssa Shin,1,2 Alfredo Quinones-Hinojosa,3 Jordan J Green1,2,4–6 1Department of Biomedical Engineering ...
Shamul JG +9 more
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Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Advanced NanoBiomed Research, EarlyView.Glioblastoma mortality is driven by cell invasion and therapeutic resistance. We report a cancer engineering approach to evaluate the behavior of heterogeneous cohorts of temozolomide resistant and responsive GBM cells. We show the effect of physiologically‐relevant metronomic dosing on ensemble drug response and invasion.
Victoria A. Kriuchkovskaia +5 more
wiley +1 more source
Efficacy, safety and cost‐effectiveness of CAR‐T therapy
British Journal of Clinical Pharmacology, EarlyView.CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher +7 more
wiley +1 more source
Research progress of immune checkpoint inhibitors in the treatment of glioblastoma [PDF]
Yixue xinzhi zazhiGlioblastoma (GBM) is the most invasive glioma in the central nervous system. Maximum surgical resection, chemotherapy and radiotherapy are currently the standard treatment for GBM.
JIA Xiaorong, ZHANG Gong
doaj +1 more source
Gaussian Processes for Predictive QSAR Modeling of Chromatographic Processes
Biotechnology and Bioengineering, EarlyView.ABSTRACT Chromatography is a key unit operation in the biopharmaceutical manufacturing process used for protein purification and polishing. Design and optimization of these processes are resource‐intensive resulting from the complex combinatorial design space.
Harini Narayanan +7 more
wiley +1 more source
International Journal of Nanomedicine, 2020 Li Peng,1,2,* Yanling Liang,1,* Xinxin Zhong,1 Zhiman Liang,1,2 Yinghong Tian,3 Shuji Li,1 Jingxue Liang,4 Ransheng Wang,4 Yuqi Zhong,4 Yusheng Shi,5 Xingmei Zhang1 1Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao ...
Peng L +10 more
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