Results 281 to 290 of about 1,803,952 (383)

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

Advanced 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, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Treatment of Porphyria Cutanea Tarda Scarring With Combination Laser Treatment and a Pilot Use of Artificial Intelligence to Quantify Laser Results. [PDF]

J Cosmet Dermatol
Kesty CE, Kesty KR.
europepmc   +1 more source

SciAgents: Automating Scientific Discovery Through Bioinspired Multi‐Agent Intelligent Graph Reasoning

Advanced Materials, EarlyView.
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley   +1 more source

Quantitative analysis of studies that use artificial intelligence on thyroid cancer: a 20-year bibliometric analysis. [PDF]

Front Oncol
Gao Y, Chen J, Fu T, Gu Y, Du W.
europepmc   +1 more source

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

Advanced 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, Kira M. Fahy, Gregory W. Peterson, Kent O. Kirlikovali, Omar K. Farha   +4 more
wiley   +1 more source

Evaluation of Awareness, Perception and Opinions Toward Artificial Intelligence Among Pharmacy Students. [PDF]

Hosp Pharm
Al-Ghazali MA.
europepmc   +1 more source

Animal Intelligence

, 1883
J. DE B. F. P.
openalex   +1 more source

Modulating Trapping in Low‐Dimensional Lead–Tin Halides for Energy‐Efficient Neuromorphic Electronics

Advanced Materials, EarlyView.
Robust 2D Ruddlesden–Popper lead‐tin perovskites demonstrate exceptional resistive switching memory performance after cesium carbonate deposition, achieving a high accuracy of 90.1% in MNIST pattern recognition. Additionally, a novel energy‐efficient content‐addressable memory architecture, based on perovskite memristive devices, is proposed for ...
Lijun Chen, Saad Saleh, Filippo Tavormina, Lorenzo Di Mario, Jiaxiong Li, Zhiqiang Xie, Norberto Masciocchi, Christoph J. Brabec, Boris Koldehofe, Maria Antonietta Loi   +9 more
wiley   +1 more source

Identification of novel proteins associated with intelligence by integrating genome-wide association data and human brain proteomics. [PDF]

PLoS One
Zhang Z, Zhu Y, Zhang J, He W, Han C.
europepmc   +1 more source

Sustainable Smart Packaging from Protein Nanofibrils

Advanced Materials, EarlyView.
Smart packaging can extend shelf life and improve food quality monitoring. This study introduces a novel smart packaging solution using amyloid fibrils and red radish anthocyanins to monitor seafood spoilage. These findings show that these films effectively indicate shrimp freshness and possess high antibacterial and antioxidant properties, offering a ...
Mohammad Peydayesh, Alan Kovacevic, Leah Hoffmann, Felix Donat, Ciatta Wobill, Laura Baraldi, Jiangtao Zhou, Christoph R. Müller, Raffaele Mezzenga   +8 more
wiley   +1 more source