Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
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
Searching for GEMS: TOI-6383Ab, a Giant Planet Transiting an M3-dwarf Star in a Binary System
We report on the discovery of a transiting giant planet around the 3500 K M3-dwarf star TOI-6383A located 172 pc from Earth. It was detected by the Transiting Exoplanet Survey Satellite and confirmed by a combination of ground-based follow-up photometry ...
Lia Marta Bernabò +24 more
doaj +1 more source
Proteomic Profiling of Myofiber Repair Annexins and Their Role in Duchenne Muscular Dystrophy
ABSTRACT Myofiber regeneration and membrane repair play crucial roles in maintaining the continuous physiological functioning of the neuromuscular system. A swift and efficient repair mechanism enables the rapid restoration of sarcolemmal integrity following cellular impairment in damaged skeletal muscles.
Paul Dowling +6 more
wiley +1 more source
In the late stage of terrestrial planet formation, planets are predicted to undergo pairwise collisions known as giant impacts. Here, we present a high-resolution database of giant impacts for differentiated colliding bodies of iron–silicate composition,
Alexandre Emsenhuber +6 more
doaj +1 more source
Catalysts for change: Museum gardens in a planetary emergency
Natural history museums are often seen as places with indoor galleries full of dry‐dusty specimens, usually of animals. But if they have gardens associated with them, museums can use living plants to create narratives that link outside spaces to inside galleries, bringing to life the challenges facing biodiversity.
Ed Baker +4 more
wiley +1 more source
The rate at which giant planets accumulate solids and gas is a critical component of planet formation models, yet it is extremely challenging to predict from first principles.
Yayaati Chachan +4 more
doaj +1 more source
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard +9 more
wiley +1 more source
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
Pressure‐Induced sp 2 ‐sp 3 Transitions in Carbon‐Bearing Phases
This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Sergey S. Lobanov +1 more
wiley +3 more sources
Lightning on giant gas planets discovered by radio receivers: Four decades of investigation
Ivana Kolmašová +6 more
openalex +1 more source

