Results 141 to 150 of about 104,865 (311)

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next‐Generation Approaches

open access: yesAdvanced Science, EarlyView.
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey   +6 more
wiley   +1 more source

Creating Cell‐Based Hybrid Noodles for Sustainable and Nutrient‐Balanced Diets via a Serum‐Free and Animal‐Free 3D Co‐Differentiation System

open access: yesAdvanced Science, EarlyView.
This study develops a 3D co‐culture and co‐differentiation system for porcine muscle stem cells (pMuSCs) and mesenchymal stem cells (pMSCs) on edible starch‐based scaffolds. The system simultaneously generates myotubes and adipocytes without using serum or chemical inducers.
Xin Guan   +9 more
wiley   +1 more source

Tissue and organ engineering: Investor sentiments and analysis. [PDF]

open access: yesRegen Ther
Velcani F   +6 more
europepmc   +1 more source

Systematic Metabolic Engineering and Model‐Guided Optimization for High‐Level Production of L‐Theanine from Xylose in Escherichia coli

open access: yesAdvanced Science, EarlyView.
This study is pioneering in constructing the shortest known synthetic pathway for L‐theanine production from xylose within E coli. Through comprehensive metabolic engineering strategies, our engineered strain achieved the highest reported L‐theanine titer from xylose, with a titer of 95.42 g/L, and a yield of 0.55 g/g.
Haolin Han   +5 more
wiley   +1 more source

StockData: An open investment transaction dataset. [PDF]

open access: yesData Brief
Li M, Wu C, Mao W, Firat EE, Laramee RS.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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