Results 171 to 180 of about 154,173 (259)

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

Advanced Science, EarlyView.
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari, James L. Grace, Jiajia Li, Joji Tanaka, Glen R. Jones, Athina Anastasaki, Wei You, Jian Zhu, Masami Kamigaito, Cyrille Boyer, Greg G. Qiao   +10 more
wiley   +1 more source

A systematic review of quantum machine learning for digital health. [PDF]

NPJ Digit Med
Gupta RS, Wood CE, Engstrom T, Pole JD, Shrapnel S.   +4 more
europepmc   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Shattering cancer with quantum machine learning: A preview. [PDF]

Patterns (N Y), 2021
Geraci J.
europepmc   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data. [PDF]

Sci Rep
Priyadharshini M, Raju BD, Banu AF, Kumar PJ, Murugesh V, Rybin O.   +5 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

QTFPred: robust high-performance quantum machine learning modeling that predicts main and cooperative transcription factor bindings with base resolution. [PDF]

Brief Bioinform
Matsubara T, Machida S, Owusu SPK, Asakura A, Hashimoto H, Matsuoka M, Nagasaki M.   +6 more
europepmc   +1 more source

Noise-robust optimization of quantum machine learning models for polymer properties using a simulator and validated on the IonQ quantum computer. [PDF]

Sci Rep, 2022
Ishiyama Y, Nagai R, Mieda S, Takei Y, Minato Y, Natsume Y.   +5 more
europepmc   +1 more source

Bridging Green Chemistry and Circular Economy: A Pathway to Sustainable Polyester Plastics Through Feedstock, Synthesis, and Waste Upcycling

Advanced Science, EarlyView.
This review summarizes green and low‐carbon strategies throughout the entire life cycle of polyester plastics, including sustainable monomer synthesis, optimization polymerization, efficient recycling, and advanced upcycling technologies. The synergistic implementation of these strategies is expected to significantly promote the development of a ...
Jinzhou Li, Junliang Chen, Yingbing Zhang, Li Wang, Pin Gao, Jianping Yang   +5 more
wiley   +1 more source