Results 211 to 220 of about 98,293 (295)

TrialR: critical enablers and the need for reusable Rare Disease Clinical Trial infrastructure in Western Australia. [PDF]

Orphanet J Rare Dis
MacDonald B, Burmaz M, Baker S, Stevens K, Newell A, Baynam G.   +5 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

The Case for Master Protocols for Rare Neurological Diseases. [PDF]

Ann Neurol
Vermilion J, Paganoni S, Plotkin SR, Quintana M, Calvert SB, Whiteman IT, Wang RY, Moore N, Augustine EF.   +8 more
europepmc   +1 more source

In Situ Genetic Engineering Facilitates MMP‐9‐Responsive TIMP1 Release Through Proteolytic Cleavage to Boost Diabetic Wound Healing

Advanced Science, EarlyView.
This study develops an MMP‐9‐responsive protein release system that transforms resident cells into drug depots through in situ genetic engineering. Anchored to the membrane, the therapeutic protein TIMP1 is selectively released upon MMP‐9 cleavage.
Yuan Zhang, Jiani Deng, Man Yee Cheung, Tingting Fu, Xufeng Qi, Dongqing Cai, Jianmin Sun, Gang Lu, Peng Shi, Wai‐Yee Chan, Xu Li, Hui Zhao   +11 more
wiley   +1 more source

Oncology drug development in the UK: analysis of the past 25 years and focus on the 2026 reboot of the clinical trial regulatory framework. [PDF]

Br J Cancer
Czajka-Francuz P, Twelves C, Spicer J, Munje A, Vidal L, Plummer R, Mistry D, Novikov M, Bush J, Srinivasan G, Das S, Sandhu S, Bohra V, Joshi C, Morrison K, Chavan S, Thistlethwaite F, Walding A, Clack G, George M, Sarker D, Ali R, Blagden SP, Evans TRJ, Saini KS.   +24 more
europepmc   +1 more source

A Review on Sustainable Development Goal 9: Industry, Innovation, and Infrastructure

openaire   +2 more sources

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

The innovation disconnect: Can artificial intelligence finally align academic discovery with industry needs? [PDF]

Indian J Pharmacol
Singh PK.
europepmc   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Advancing Regulatory Adoption of New Approach Methodologies. [PDF]

Clin Pharmacol Ther
Florian J, Chiu K, Racz R, Elmore CL, Seo SK, Blinova K, Wu WW, Rouse R.   +7 more
europepmc   +1 more source