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48,453 grants matching machine learning

EFFICIENT OPTIMIZATION VIA SPARSIFICATION WITH APPLICATIONS TO FAST FOURIER OPTIMIZATION, COMPRESSIVE SENSING, AND OTHER MACHINE-LEARNING PROBLEMS

$594,246
The Trustees Of Princeton University · · FY2016 · Department of the Navy

Integrated Informatic and Experimental Evaluations of Cancer Chronotherapy

$594,206
Ron C. Anafi · University Of Pennsylvania · R01 · FY2019 · CA

Uncovering Life Course Constellations of Exposures through Big Data on Place, Time, and Family Factors

$594,182
Jason Michael Fletcher · University Of Wisconsin-Madison · R01 · FY2022 · AG

CAREER: SHF: Bio-Inspired Microsystems for Energy-Efficient Real-Time Sensing, Decision, and Adaptation

$594,175
Siddharth Joshi · University Of Notre Dame · · FY2024 · CSE

Cancer immunotherapy

$594,136
Eytan Ruppin · Division Of Basic Sciences - Nci · ZIA · FY2018 · CA

Dynamic Functional Image-based Deep Learning for Therapy Assessment in Autism

$594,123
James S Duncan · Yale University · R01 · FY2024 · NS

Revealing environmental chemical exposome in a diverse prenatal population and relationships to maternal and perinatal health (REVEAL)

$594,108
Tracey J. Woodruff · University Of California, San Francisco · R01 · FY2023 · ES

Von Willebrand Factor Hyperactivity, Angiogenesis and LVAD-Induced Bleeding

$594,080
Angelo Nascimbene · University Of Texas Hlth Sci Ctr Houston · R01 · FY2024 · HL

** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** PLANT-BASED PROTEINS HAVE EMERGED AS A PROMISING AND SUSTAINABLE ALTERNATIVE SOURCE OF DIETARY PROTEIN FOR DIVERSE AND NOVEL FOOD PRODUCTS, AND ARE VIEWED FAVORABLY BY MANY CONSUMERS. HOWEVER, DESPITE SIGNIFICANT PROGRESS IN DEVELOPING LIQUID AND SEMI-SOLID FOODS WITH PLANT-PROTEINS (E.G. NUT MILK OR YOGURT ALTERNATIVE PRODUCTS), THESE FOODS SUFFER FROM LIMITED DISPERSIBILITY OF PROTEINS AFTER PASTEURIZATION, RESULTING IN SEDIMENTATION AND AN UNPLEASANT MOUTHFEEL WHEN CONSUMED (SUCH AS A GRITTY OR CHALKY TEXTURE). IN ADDITION, ALTHOUGH MANY CONSUMERS VIEW THESE PLANT-BASED MILK AND YOGURT ALTERNATIVES AS HEALTHIER, IT IS LIKELY THAT THEIR PROTEIN DIGESTIBILITY IS REDUCED, WHICH COULD INSTEAD NEGATIVELY IMPACT CONSUMER HEALTH. AS A RESULT OF THESE SERIOUS LIMITATIONS IN DEVELOPMENT OF DAIRY ALTERNATIVES WITH PLANT PROTEINS, THIS PROJECT AIMS TO CHARACTERIZE THE FUNCTIONALITY OF PLANT PROTEINS, AND TO DEVELOP NOVEL PROTEIN MICROSTRUCTURES THAT MAY HELP TO ULTIMATELY INCREASE PROTEIN FUNCTIONALITY. PROTEIN FUNCTIONALITY WILL BE ASSESSED IN MODEL LIQUID (A MILK ALTERNATIVE OR PROTEIN SHAKE) AND MODEL SEMI-SOLID (A YOGURT ALTERNATIVE OR DIP) FOODS. FUNCTIONALITY WILL BE CONSIDERED AS A COMBINATION OF STABILITY (HOW WELL THE PROTEINS REMAIN DISPERSED IN THE PRODUCT AFTER HEATING), TEXTURE (THE FLOW PROPERTIES AND MOUTHFEEL OF THE PRODUCT), AND DIGESTIBILITY (HOW MUCH OF THE PROTEIN MAY ULTIMATELY BE ABSORBED BY THE CONSUMER TO BENEFIT HEALTH). TO ALLOW FOR TRANSLATION OF THE DATA COLLECTED IN THIS PROJECT TO THE US FOOD MANUFACTURING INDUSTRY, A MACHINE LEARNING MODEL WILL BE DEVELOPED THAT WILL ALLOW FOR FOOD PRODUCERS TO INPUT THE PROTEIN CONCENTRATION AND PROPERTIES INTO THE MODEL AND IT WILL PREDICT THE LEVEL OF STABILITY, TEXTURE, OR DIGESTIBILITY FOR A GIVEN PROTEIN AND FOOD SYSTEM. THIS TOOL WILL STREAMLINE PRODUCT DEVELOPMENT OF NEW FOODS WITH PLANT PROTEINS AND ALLOW THE FOOD MANUFACTURING INDUSTRY TO DELIVER HIGHER-QUALITY PRODUCTS TO CONSUMERS.

$594,000
University Of California, Davis · · FY2023 · National Institute of Food and Agriculture

Statistical methods for real-time forecasts of infectious disease: dynamic time-series and machine learning approaches

$593,966
Nicholas G Reich · University Of Massachusetts Amherst · R35 · FY2020 · GM

Innovative MRI-based Characterization of Cardiac Dyssynchrony

$593,963
Dimitris N Metaxas · Rutgers, The State Univ Of N.J. · R01 · FY2017 · HL

Artificial Intelligence in a Mobile Intervention for Depression (AIM)

$593,935
David Curtis Mohr · Northwestern University At Chicago · R01 · FY2017 · MH

CAREER: Designing Next-Generation Programmable Switches for Stateful In-Network Computing

$593,914
Vishal Shrivastav · Purdue University · · FY2023 · CSE

CISE-MSI: DP: HCC: Training a Virtual Guide Dog for Visually Impaired People to Learn Safe Routes Using Crowdsourcing Multimodal Data

$593,880
Hao Tang · Cuny Borough Of Manhattan Community College · · FY2021 · CSE

Defining the messenger RNP code in the brain

$593,875
Eugene Wei-Ming Yeo · University Of California, San Diego · R01 · FY2014 · NS

Development of a novel method for cryopreservation of Drosophila melanogaster

$593,865
Daryl Gohl · University Of Minnesota · R24 · FY2023 · OD

CAIG: AI-Driven Generation of Vector Magnetograms in the Chromosphere and Photosphere with Application to Explainable Solar Eruption Predictions

$593,864
Yan Xu · New Jersey Institute Of Technology · · FY2024 · GEO

Defining the Role of HPV Integration Structures in HNSCC Molecular Heterogeneity

$593,861
John Chadwick Brenner · University Of Michigan At Ann Arbor · R01 · FY2025 · DE

Cross-platform structural variant discovery with deep learning

$593,860
Victoria Popic · Broad Institute, Inc. · R01 · FY2022 · HG

Metabolomics and risk of Parkinson's Disease

$593,802
Alberto Ascherio · Harvard School Of Public Health · R01 · FY2015 · NS

Neuroimaging Predictors Of Cognitive Change And Response To Therapy

$593,802
Susan Resnick · National Institute On Aging · ZIA · FY2009 · AG

Development of a closed-loop control system for plasma medicine

$593,801
Katharina Stapelmann · North Carolina State University Raleigh · R01 · FY2022 · EB

Multi-ethnic high-throughput study to identify novel non-HLA genetic contributors to mortality after blood and marrow transplantation

$593,753
Theresa E Hahn · Roswell Park Cancer Institute Corp · R01 · FY2024 · CA

Selection of Flow Modulation Protocols for Patients on Continuous Flow Ventricular Assist Devices (CF-VADs)

$593,704
Palaniappan Sethu · University Of Alabama At Birmingham · R01 · FY2021 · HL

BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining

$593,662
Heng Huang · University Of Maryland, College Park · · FY2023 · CSE