Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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
Species diversity and competition influence nitrogen resorption efficiency in mixed hardwood plantations. [PDF]
Nelson TM +6 more
europepmc +1 more source
Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun +15 more
wiley +1 more source
FullSynesth: Syntenic Reconciliation of a Set of Consistent Gene Trees. [PDF]
Gascon M, Delabre M, El-Mabrouk N.
europepmc +1 more source
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
Drivers and conservation impacts of innovative tree nesting in an isolated island population of the red-billed chough. [PDF]
Blanco G +5 more
europepmc +1 more source
Multidrug‐resistant Vibrio infections are rising rapidly and threaten coastal populations worldwide. This study introduces D‐zp37, a chirality‐engineered antimicrobial peptide with exceptional potency against resistant Vibrio species. D‐zp37 kills planktonic cells, blocks mixed‐species biofilms, disrupts essential bacterial stress responses, and shows ...
Ping Zeng +11 more
wiley +1 more source
Disturbance event impact on aboveground carbon storage and vulnerability of large trees in old-growth coniferous forest stands in Latvia. [PDF]
Ķēniņa L +3 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source

