Evidence map›Paper›PMID 38382465›Full record

ReviewCell reports. Medicine2024

Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer's disease.

Feixiong Cheng, Fei Wang, Jian Tang, Yadi Zhou, Zhimin Fu, Pengyue Zhang, Jonathan L Haines, James B Leverenz, Li Gan, Jianying Hu and 3 more

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. A strategic pathway for the ethical development of AI tools in dementia care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Review
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  10. Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  11. Review
  12. Multi-View Biomedical Foundation Models for Molecule-Target and Property Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Feixiong ChengGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Cleveland Clinic Genome Center, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA. Electronic address: chengf@ccf.org.
Fei WangDepartment of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA.
Jian TangMila-Quebec Institute for Learning Algorithms and CIFAR AI Research Chair, HEC Montreal, Montréal, QC H3T 2A7, Canada.
Yadi ZhouGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Zhimin FuGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; College of Pharmacy, Northeast Ohio Medical University, Rootstown, OH 44272, USA.
Pengyue ZhangDepartment of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN 46037, USA.
Jonathan L HainesCleveland Institute for Computational Biology, and Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA.
James B LeverenzLou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Li GanHelen and Robert Appel Alzheimer's Disease Research Institute, Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA.
Jianying HuIBM Research, Yorktown Heights, New York, NY 10598, USA.
Michal Rosen-ZviAI for Accelerated Healthcare and Life Sciences Discovery, IBM Research Labs, Haifa 3498825, Israel; Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190500, Israel.
Andrew A PieperBrain Health Medicines Center, Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA; Department of Psychiatry, Case Western Reserve University, Cleveland, OH 44106, USA; Geriatric Psychiatry, GRECC, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA; Institute for Transformative Molecular Medicine, School of Medicine, Case Western Reserve University, Cleveland OH 44106, USA; Department of Pathology, Case Western Reserve University, School of Medicine, Cleveland, OH, 44106, USA; Department of Neurosciences, Case Western Reserve University, School of Medicine, Cleveland, OH 44106, USA.
Jeffrey CummingsChambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, UNLV, Las Vegas, NV 89154, USA.

Funding

Trial-Ready Cohort for Preclinical/Prodromal Alzheimer's DiseaseR01AG053798 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AISEN, PAUL S., CUMMINGS, JEFFREY L. · 2017 to 2022
$39.4M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
Translational and Therapeutics CoreP30AG072959 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI JAGAN AYYAPPAN PILLAI · 2021 to 2026
$23.9M
Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) CNTN - ResubmissionP20GM109025 · NIGMS · CLEVELAND CLINIC FOUNDATION · PI Robert J. Fox, Jefferson Kinney · 2015 to 2026
$22.8M
Chronic Traumatic Encephalopathy: Detection, Diagnosis, Course, and Risk FactorsU01NS093334 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CUMMINGS, JEFFREY L., REIMAN, ERIC MICHAEL · 2016 to 2022
$17.0M
Dementia with Lewy Bodies Consortium - Supplement for ASL sequenceU01NS100610 · NINDS · SEATTLE INST FOR BIOMEDICAL/CLINICAL RES · PI DOUGLAS R GALASKO, JAMES Bruce LEVERENZ · 2016 to 2026
$15.6M
The Alzheimer Disease Sequence Analysis CollaborativeU01AG058654 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI BUSH, WILLIAM S, FARRER, LINDSAY A. · 2018 to 2022
$14.6M
Project 3: Autophagy dysfunction and neuronal activity in FTDU54NS100717 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSIK, KENNETH STEPHEN · 2016 to 2020
$10.8M
Chemical, Structural and Cell-Signaling Interrogation of 15-Prostanglandin Dehydrogenase in Tissue Repair and RegenerationRM1GM142002 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI MARKOWITZ, SANFORD D., PIEPER, ANDREW A · 2021 to 2025
$6.9M
Endophenotype Network-based Approaches to Prediction and Population-based Validation of In Silico Drug Repurposing for Alzheimer's DiseaseR01AG066707 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng · 2020 to 2026
$4.9M
TREM2 Genotype-Informed Drug Repurposing and Combination Therapy Design for Alzheimer’s DiseaseR01AG076448 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng, Li Gan · 2022 to 2026
$4.0M
Alzheimer's MultiOme Data Repurposing: Artificial Intelligence, Network Medicine, and Therapeutics DiscoveryU01AG073323 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2025
$4.0M
BLRD VA I01 BX005976NCI NIH HHS HHSN261201500003CNCI NIH HHS HHSN261201500003INCI NIH HHS R01 CA080991NIA NIH HHS K08 AG065463NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072959NIA NIH HHS R01 AG053798NIA NIH HHS R01 AG054214NIA NIH HHS R01 AG066707NIA NIH HHS R01 AG071512NIA NIH HHS R01 AG076234NIA NIH HHS R01 AG076448NIA NIH HHS R01 AG080624NIA NIH HHS R01 AG080991NIA NIH HHS R01 AG082118NIA NIH HHS R01 AG084250NIA NIH HHS R21 AG083003NIA NIH HHS R25 AG083721NIA NIH HHS R35 AG071476NIA NIH HHS R56 AG074001NIA NIH HHS RF1 AG072449NIA NIH HHS RF1 AG082211NIA NIH HHS RF1 AG084178NIA NIH HHS U01 AG058654NIA NIH HHS U01 AG073323NIGMS NIH HHS P20 GM109025NIGMS NIH HHS RM1 GM142002NINDS NIH HHS RF1 NS133812NINDS NIH HHS U01 NS093334NINDS NIH HHS U01 NS100610NINDS NIH HHS U54 NS100717
6 · The paper itself

Abstract

The high failure rate of clinical trials in Alzheimer's disease (AD) and AD-related dementia (ADRD) is due to a lack of understanding of the pathophysiology of disease, and this deficit may be addressed by applying artificial intelligence (AI) to "big data" to rapidly and effectively expand therapeutic development efforts. Recent accelerations in computing power and availability of big data, including electronic health records and multi-omics profiles, have converged to provide opportunities for scientific discovery and treatment development. Here, we review the potential utility of applying AI approaches to big data for discovery of disease-modifying medicines for AD/ADRD. We illustrate how AI tools can be applied to the AD/ADRD drug development pipeline through collaborative efforts among neurologists, gerontologists, geneticists, pharmacologists, medicinal chemists, and computational scientists. AI and open data science expedite drug discovery and development of disease-modifying therapeutics for AD/ADRD and other neurodegenerative diseases.

Indexed as

Alzheimer DiseaseArtificial IntelligenceDrug DevelopmentDrug DiscoveryElectronic Health RecordsHumans

Identifiers

PMID38382465
PMCPMC10897520

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.