Results 121 to 130 of about 26,748 (250)

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Aging as a Loss of Goal-Directedness: An Evolutionary Simulation and Analysis Unifying Regeneration with Anatomical Rejuvenation. [PDF]

Adv Sci (Weinh)
Pio-Lopez L, Hartl B, Levin M.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Towards a Direct Consideration of Microstructure Deformation during Dynamic Recrystallisation Simulations with the Use of Coupled Random Cellular Automata-Finite Element Model. [PDF]

Materials (Basel)
Pawlikowski K, Sitko M, Perzyński K, Madej Ł.   +3 more
europepmc   +1 more source

Parallel implementations of cellular automata algorithms on the AGILA high performance computing system

Proceedings International Symposium on Parallel Architectures, Algorithms and Networks. I-SPAN'02, 2002
Rafael P. Saldaña, Winfer C. Tabares, W. E. Yu   +2 more
semanticscholar   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Challenges and opportunities for digital twins in precision medicine from a complex systems perspective. [PDF]

NPJ Digit Med
De Domenico M, Allegri L, Caldarelli G, d'Andrea V, Di Camillo B, Rocha LM, Rozum J, Sbarbati R, Zambelli F.   +8 more
europepmc   +1 more source

Cellular Automata Inspired Multistable Origami Metamaterials for Mechanical Learning. [PDF]

Adv Sci (Weinh), 2023
Liu Z, Fang H, Xu J, Wang KW.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Origins of life: the possible and the actual. [PDF]

Philos Trans R Soc Lond B Biol Sci
Solé R, Kempes C, Stepney S.
europepmc   +1 more source