Results 251 to 260 of about 238,744 (335)

Regioisomeric Effects on Enhancing p‐Type Characteristics of Self‐Assembled Molecules in Inverted Perovskite Solar Cells

open access: yesAdvanced Science, EarlyView.
Regioisomeric effects are a critical design parameter in self‐assembled monolyaer (SAM) engineering, underscoring their importance for optimizing buried interface properties and advancing the performance and stability of inverted perovskite solar cells.
Myeong‐Ho Hong   +5 more
wiley   +1 more source

Genome-wide association studies on leaf midrib architecture in maize. [PDF]

open access: yesFront Plant Sci
Dang D   +7 more
europepmc   +1 more source

Chemically Engineered L. reuteri Delivering αPD‐L1 and Gallium Ions via Metal‐Phenolic Networks Potentiate Anti‐Tumor Immunity and Ferroptosis

open access: yesAdvanced Science, EarlyView.
A multifaceted chemical strategy, integrating bacterial tropism, metal‐ion interference therapy, and immunotherapy, resulted in significant tumor regression in murine models. A pioneering paradigm for the design of biohybrid materials was established, highlighting how sophisticated chemical engineering of living systems can unlock new avenues for ...
Tingting Zhang   +7 more
wiley   +1 more source

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects

open access: yesAdvanced Science, EarlyView.
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang   +9 more
wiley   +1 more source

Bigger is not always better: Optimizing leaf area index with narrow-leaf shape in soybean. [PDF]

open access: yesPlant Physiol
Tamang BG   +4 more
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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