Results 211 to 220 of about 168,331 (269)

Carbon Stock and Environmental Variations of Typical Plantations in Mufu Mountain in Hubei Province, China

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Forest ecosystems play a critical role in the global carbon cycle. As a significant terrestrial carbon sink, plantations exhibit carbon stock patterns that are shaped by tree species composition, stand structure, and environmental conditions. Here, we investigated typical plantation types in the Mufu Mountain, Hubei Province.
Mingyang Ding   +5 more
wiley   +1 more source

Sweat sodium composition and sweat loss estimation through wearable sensors and predictive equations in dry and humid hot conditions. [PDF]

open access: yesFront Physiol
Bandiera D   +9 more
europepmc   +1 more source

Beyond PD‐1/PD‐L1: New Immune Checkpoints and Therapeutic Combinations in Cancer Immunotherapy

open access: yesMedicine Bulletin, EarlyView.
ABSTRACT Recently, immune checkpoint inhibitors (ICIs), particularly PD‐1/PD‐L1 and CTLA‐4 inhibitors, have revolutionized cancer treatment, significantly improving survival rates for various malignancies. However, ICI therapies targeting single checkpoints on T cells still face numerous challenges, such as low response rates and post‐treatment ...
Yangyang Li, Zizhen Kang, Yanyun Du
wiley   +1 more source

Src homology 2 domain–containing inositol 5-phosphatase 1 deficiency leads to a spontaneous allergic inflammation in the murine lung

open access: green, 2006
Sun‐Young Oh   +6 more
openalex   +2 more sources

Single‐Cell Transcriptomic Analysis Reveals Epithelial‐Mesenchymal Transition and Key Gene AGRN as a Universal Programme in Gastrointestinal Tumours by an Artificial Intelligence‐Derived Prognostic Index

open access: yesMed Research, EarlyView.
Intra‐tumour heterogeneity is present in gastrointestinal tumours at the single‐cell level. Cell cycling, EMT, MYC and TNF‐α are the four main consensus meta‐programs in gastrointestinal tumours. Then, a prognostic model based on intratumoral heterogeneity was constructed using an artificial intelligence‐derived prognostic index.
Zhizhan Ni   +12 more
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

open access: yesMed Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu   +3 more
wiley   +1 more source

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