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Annual Review of Analytical Chemistry (Palo Alto, Calif.)
|
February 10, 2026
Machine Learning and Autonomous Systems for Accelerated Synthesis
Matthew A McDonald, Klavs F Jensen
Journal of Eye Movement Research
|
November 28, 2022
Eye Movements in Mild Traumatic Brain Injury: Clinical Challenges
Matthew A McDonald, Samantha J Holdsworth, Helen V Danesh-Meyer
Journal of Eye Movement Research
|
November 28, 2022
Eye Movements in Mild Traumatic Brain Injury: Ocular Biomarkers
Matthew A McDonald, Samantha J Holdsworth, Helen V Danesh-Meyer
Chemical Science
|
July 5, 2024
Calibration-free reaction yield quantification by HPLC with a machine-learning model of extinction coefficients
Matthew A McDonald, Brent A Koscher, Richard B Canty, et al.
Eye and Brain
|
September 15, 2022
Eye Movement Abnormalities in Glaucoma Patients: A Review
Matthew A McDonald, Clark H Stevenson, Hannah M Kersten, et al.
Journal of Chemical Information and Modeling
|
June 17, 2025
General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction
Miguel Nouman, Richard B Canty, Brent A Koscher, et al.
ACS Central Science
|
March 3, 2025
Bayesian Optimization over Multiple Experimental Fidelities Accelerates Automated Discovery of Drug Molecules
Matthew A McDonald, Brent A Koscher, Richard B Canty, et al.
The Journal of Physical Chemistry. B
|
May 7, 2021
Modeling Amyloid Aggregation Kinetics: A Case Study with Sup35NM
Aditi Sharma, Matthew A McDonald, Harrison B Rose, et al.
Brain and Behavior
|
July 21, 2022
A window into eye movement dysfunction following mTBI: A scoping review of magnetic resonance imaging and eye tracking findings
Matthew A McDonald, Maryam Tayebi, Joshua P McGeown, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
October 18, 2012
Imaging atherosclerosis with hybrid [18F]fluorodeoxyglucose positron emission tomography/computed tomography imaging: what Leonardo da Vinci could not see
Myra S Cocker, Brian Mc Ardle, J David Spence, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Annual Review of Analytical Chemistry (Palo Alto, Calif.)
|
February 10, 2026
Machine Learning and Autonomous Systems for Accelerated Synthesis
Matthew A McDonald, Klavs F Jensen
Journal of Eye Movement Research
|
November 28, 2022
Eye Movements in Mild Traumatic Brain Injury: Clinical Challenges
Matthew A McDonald, Samantha J Holdsworth, Helen V Danesh-Meyer
Journal of Eye Movement Research
|
November 28, 2022
Eye Movements in Mild Traumatic Brain Injury: Ocular Biomarkers
Matthew A McDonald, Samantha J Holdsworth, Helen V Danesh-Meyer
Chemical Science
|
July 5, 2024
Calibration-free reaction yield quantification by HPLC with a machine-learning model of extinction coefficients
Matthew A McDonald, Brent A Koscher, Richard B Canty, et al.
Eye and Brain
|
September 15, 2022
Eye Movement Abnormalities in Glaucoma Patients: A Review
Matthew A McDonald, Clark H Stevenson, Hannah M Kersten, et al.
Journal of Chemical Information and Modeling
|
June 17, 2025
General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction
Miguel Nouman, Richard B Canty, Brent A Koscher, et al.
ACS Central Science
|
March 3, 2025
Bayesian Optimization over Multiple Experimental Fidelities Accelerates Automated Discovery of Drug Molecules
Matthew A McDonald, Brent A Koscher, Richard B Canty, et al.
The Journal of Physical Chemistry. B
|
May 7, 2021
Modeling Amyloid Aggregation Kinetics: A Case Study with Sup35NM
Aditi Sharma, Matthew A McDonald, Harrison B Rose, et al.
Brain and Behavior
|
July 21, 2022
A window into eye movement dysfunction following mTBI: A scoping review of magnetic resonance imaging and eye tracking findings
Matthew A McDonald, Maryam Tayebi, Joshua P McGeown, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
October 18, 2012
Imaging atherosclerosis with hybrid [18F]fluorodeoxyglucose positron emission tomography/computed tomography imaging: what Leonardo da Vinci could not see
Myra S Cocker, Brian Mc Ardle, J David Spence, et al.
Page
of 2