Results 241 to 250 of about 1,259,133 (314)

Predicting adolescent depression: an interpretable machine learning model. [PDF]

BMC Med Inform Decis Mak
Chen X, Yang B, Han L, Li X, Jin W, Xie Z, Tao M, Chen Y, Gu Y, Solomon OM, Li L, Wei Y.   +11 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Machine Learning in Nonischemic Cardiomyopathy: Phenotyping, Mechanism Discovery, and Clinical Applications. [PDF]

Cardiol Rev
Quansah K, Anderson E, Kwon E, Kwon C.
europepmc   +1 more source

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

Advanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He, Zhiqi Wang, Jiaqi Guan, Younan Xia   +3 more
wiley   +1 more source

Machine Learning for Differentiating Essential Tremor: A Scoping Review. [PDF]

Tremor Other Hyperkinet Mov (N Y)
Fletcher DM, Heintzelman KE, Ramasamy SB, Marks A, Melott JC, Amara AW, Memon AA.   +6 more
europepmc   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Comparing risk factors in severe COVID-19 using machine learning and non-machine learning methods: analysis from 2 international randomized controlled trials. [PDF]

JAMIA Open
Møller Jensen C, Zargari Marandi R, Moestrup KS, Mourad A, Mena Lora AJ, Sherman BT, Vock DM, Nordwall JA, Carson JM, Peiffer-Smadja N, Aggarwal NR, Naiman NE, Brown SM, Barrett TW, Hatlen T, Kjærgaard VS, Chang W, Sydes MR, Lundgren J, Jensen TO, STRIVE Network and ITAC and TICO Study Groups .   +20 more
europepmc   +1 more source