Results 231 to 240 of about 2,611,781 (277)

Deep learning in obsessive-compulsive disorder: a narrative review. [PDF]

open access: yesFront Psychiatry
Zaboski BA   +3 more
europepmc   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle   +9 more
wiley   +1 more source

Evidential deep learning-based drug-target interaction prediction. [PDF]

open access: yesNat Commun
Zhao Y   +20 more
europepmc   +1 more source

Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting

open access: yesAdvanced Materials, EarlyView.
This review explores the design of hierarchical porous materials for atmospheric water harvesting, focusing on metal‐organic frameworks (MOFs) and porous monoliths. Emphasis is placed on integrating MOF nanoscale porosity with the microscale channels of monolithic scaffolds to enhance sorption‐desorption performance.
Mahyar Panahi‐Sarmad   +7 more
wiley   +1 more source

Advancing Metal–Organic Framework‐Based Composites for Effective Chemical Warfare Agent Detoxification under Real‐World Conditions

open access: yesAdvanced Materials, EarlyView.
This review describes recent developments in the design and synthesis of metal–organic frameworks (MOF)/textile composites for the detoxification of chemical warfare agent and simulants with extensive discussion on the advantages and disadvantages of different methods.
Zhihua Cheng   +4 more
wiley   +1 more source

Breast Cancer Classification with Various Optimized Deep Learning Methods. [PDF]

open access: yesDiagnostics (Basel)
Güler M   +4 more
europepmc   +1 more source

Adsorption and Separation by Flexible MOFs

open access: yesAdvanced Materials, EarlyView.
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska   +4 more
wiley   +1 more source

Deep learning prediction of noise-driven nonlinear instabilities in fibre optics. [PDF]

open access: yesNat Commun
Boussafa Y   +9 more
europepmc   +1 more source

Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years

open access: yesAdvanced Materials, EarlyView.
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai   +8 more
wiley   +1 more source

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