FDA Modernization Act 2.0 Paves the Way to Computational Biology and Clinical Trials in a Dish
Open accessAbstract
The evaluation of drug safety and efficacy is an expensive, time-consuming process with a high failure rate.Animal testing was the only non-human testing method to assess drug safety and efficacy before clinical trials for nearly a century.The tragic incidents of mass poisoning that occurred when sulfanilamide was formulated into an elixir spurred the enactment in 1938 of the Federal Food, Drug, and Cosmetic Act that mandated all drugs must be tested for toxicity in animals and truthfully labeled 1 .In 1961, following the thalidomide disaster in other countries, the FDA enforced its own requirement for clinical trials and the need for preclinical validations of toxicity in animal studies.Since then, drug testing in animals has been the only standard recognized by the FDA before drugs are approved for human subject clinical trials.Following these guidelines, the success rate over the last 25 years of all drugs that entered Phase I clinical trials to reach FDA approval is only 9.6% 2 .Implicit in this failure rate is the inherent poor correlation between animal efficacy and toxicity data and how that adversely affected the success of drug approval in humans.This high failure rate necessitates the need for alternate methods to be instituted as part of the FDA approval process for clinical trials.On September 29, 2022, the U.S. Senate unanimously passed Bill S. 5002, which was subsequently approved by the U.S. House on December 23, 2022, giving rise to what is known as the "FDA Modernization Act 2.0".This landmark act is an attempt to update the 1938 mandate by allowing regulators to consider using new approach methods (NAMs) as a legitimate option to establish drug safety and efficacy instead of using animals.This bill allows the FDA to consider information other than animal studies, shining a spotlight on significant advancements in biology and technology over the past several decades.Some of these include cell-based approaches, such as human induced pluripotent
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
This focus aligns with broader regulatory developments, as reflected in the FDA Modernization Act 2.0 and 3.0, which promote the adoption of Organ-On-Chip (OOC) platforms and other New Approach Methodologies (NAMs) as alternatives to traditional animal testing.
“This focus aligns with broader regulatory developments, as reflected in the Food and Drug Administration (FDA) Modernization Act 2.0 and 3.0, which promote the adoption of Organ-On-Chip (OOC) platforms and other New Approach Methodologies (NAMs) as alternatives to traditional animal testing (Carratt et al., 2024; Zushin et al., 2023; Ahmed et al., 2023).”
From Mini-hearts for disease modeling and drug testing – process optimization versus biological functionality (2026) · cites this paper as Ahmed et al., 2023
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe FDA Modernization Act 2.0 ends the long-standing animal mandate and promotes the use of validated in vitro human alternatives for next-generation drug development.
“Indeed, the recently passed FDA Modernization Act 2.0 ends the long-standing animal mandate and promotes the use of validated in vitro human alternatives for next-generation drug development.21”
From Reversal of contractile defects by mediating calcium homeostasis in human mini-heart models of heart failure with preserved ejection fraction (HFpEF) leads to first-in-human gene therapy clinical trial (2024) · cites this paper as [21]
In the paper’s discussion of the FDA Modernization Act 2.0 (page not specified), the authors say the act updates the animal-testing mandate by allowing regulators to consider alternatives, including human cell-based methods. The passage supports the shift toward in vitro methods for drug development, but does not say those alternatives have been validated. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Shifting machine learning for healthcare from development to deployment and from models to data
Zhang, A., Xing, L., Zou, J., & Wu, J. C. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00898-y · Cited by 420 · see citing works
Self-citationElixirs, Diluents, and the Passage of the 1938 Federal Food, Drug and Cosmetic Act
Wax, P. M. (1995) · Annals of Internal Medicine · doi:10.7326/0003-4819-122-6-199503150-00009 · Cited by 236 · see citing works
Challenges and opportunities for the next generation of cardiovascular tissue engineering
Cho, S., Discher, D. E., Leong, K. W., Vunjak-Novakovic, G., & Wu, J. C. (2022) · Nature Methods · doi:10.1038/s41592-022-01591-3 · Cited by 176 · see citing works
Self-citationSayed, N., Liu, C., Ameen, M., Himmati, F., Zhang, J. Z., Khanamiri, S., Moonen, J.-R., Wnorowski, A., Cheng, L., Rhee, J.-W., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aax9276 · Cited by 111 · see citing works
Self-citationMullard, A. (2023) · Nature Reviews Drug Discovery · doi:10.1038/d41573-023-00001-3 · Cited by 102 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Carratt, S. A., Zuch de Zafra, C. L., Oziolor, E., Rana, P., Vansell, N. R., Mangipudy, R., & Vaidya, V. S. (2025) · Toxicological Sciences · doi:10.1093/toxsci/kfae122 · Cited by 59 · see citing works
Biomaterials-Based Antioxidant Strategies for the Treatment of Oxidative Stress Diseases
Pérez-Araluce, M., Jüngst, T., Sanmartín, C., Prósper, F., Plano, D., & Mazo, M. M. (2024) · Biomimetics · doi:10.3390/biomimetics9010023 · Cited by 50 · see citing works
Strengthening cardiac therapy pipelines using human pluripotent stem cell-derived cardiomyocytes
Raniga, K., Nasir, A., Vo, N. T. N., Vaidyanathan, R., Dickerson, S., Hilcove, S. A., Mosqueira, D., Mirams, G. R., Clements, P., Hicks, R., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.01.007 · Cited by 38 · see citing works
Clinical trials in-a-dish for cardiovascular medicine
Wu, X., Swanson, K., Yıldırım, Z., Liu, W., Liao, R., & Wu, J. C. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae519 · Cited by 40 · see citing works
Self-citationYıldırım, Z., Swanson, K., Wu, X., Zou, J., & Wu, J. C. (2024) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-022724-095035 · Cited by 39 · see citing works
Self-citationNanomedicine Reimagined: Translational Strategies for Precision Tumor Theranostics
Wu, Q., Yao, X., Duan, X., Chen, X. S., & Zhang, J. (2025) · Advanced Materials · doi:10.1002/adma.202510293 · Cited by 26 · see citing works
Mirlohi, M. S., Yousefi, T., Aref, A. R., & Seyfoori, A. (2025) · Biomimetics · doi:10.3390/biomimetics10120796 · Cited by 23 · see citing works
Integrated Patient Digital and Biomimetic Twins for Precision Medicine: A Perspective
Miedel, M. T., Schurdak, M. E., Stern, A. M., Soto–Gutiérrez, A., Strobl, E. V., Behari, J., & Taylor, D. L. (2025) · Seminars in Liver Disease · doi:10.1055/a-2649-1560 · Cited by 18 · see citing works
Advanced Biomanufacturing Technologies for Micro-physiological Systems
Kim, M. K., Yoon, J., Kim, D., Kim, J., Kim, J.-S., Go, G., Song, J., Son, S., Park, K., Lee, D., et al. (2025) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-025-01330-6 · Cited by 17 · see citing works
Haim, I. R., Gruber, A., Kazma, N., Bashai, C., Kinsbruner, H. L., & Caspi, O. (2025) · Circulation Heart Failure · doi:10.1161/circheartfailure.124.011690 · Cited by 13 · see citing works
Rana, P., Hollingshead, B. D., & Mangipudy, R. S. (2024) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2024.105710 · Cited by 11 · see citing works
Yang, Y., Yang, H., Kiskin, F. N., & Zhang, J. Z. (2024) · Medical Review · doi:10.1515/mr-2023-0059 · Cited by 9 · see citing works
Daley, M. C., Moreau, M., Bronk, P., Fisher, J. W., Kofron, C. M., Mende, U., McMullen, P. D., Choi, B., & Coulombe, K. (2024) · Toxicological Sciences · doi:10.1093/toxsci/kfae079 · Cited by 8 · see citing works
Advances in Hypertrophic Cardiomyopathy Disease Modelling Using hiPSC-Derived Cardiomyocytes
Dababneh, S., Hamledari, H., Maaref, Y., Jayousi, F., Hosseini, D. B., Khan, A., Jannati, S., Jabbari, K., Arslanova, A., Butt, M., et al. (2023) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2023.11.009 · Cited by 8 · see citing works
Elkind, M. S. V., Arnett, D. K., Benjamin, I. J., Eckel, R. H., Grant, A. O., Houser, S. R., Jacobs, A. K., Jones, D. W., Robertson, R. M., Sacco, R. L., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001213 · Cited by 11 · see citing works
Self-citationSom, L., & Smart, N. (2025) · Cells · doi:10.3390/cells14231913 · Cited by 7 · see citing works
Chang, C., Tsai, C.-C., Cheng, C., Chu, T.-Y., Chiang, C., Lee, Y., Wu, C., Chen, J., Kuo, C., & Hsu, P.-C. (2025) · Tzu Chi Medical Journal · doi:10.4103/tcmj.tcmj_256_24 · Cited by 6 · see citing works
Antioxidants in Cardiovascular Health: Implications for Disease Modeling Using Cardiac Organoids
Ross, G. R., & Benjamin, I. J. (2025) · Antioxidants · doi:10.3390/antiox14101202 · Cited by 6 · see citing works
Chaudhary, N., & Villa-Diaz, L. G. (2025) · Frontiers in Toxicology · doi:10.3389/ftox.2025.1667573 · Cited by 6 · see citing works
Beyond 2D: Novel biomaterial approaches for modeling the placenta
Zambuto, S. G., Scott, A. K., & Oyen, M. L. (2024) · Placenta · doi:10.1016/j.placenta.2024.03.006 · Cited by 6 · see citing works
Costa, K. D., Wong, A. O. T., Mak, S. Y., Roberts, E. G., Keung, W., Correia, C., Walentinsson, A., Christoffersson, J., Cheung, A., Lieu, D. K., et al. (2024) · bioRxiv · doi:10.1101/2024.08.27.609034 · Cited by 5 · see citing works
de Korte, T., Johnson, B. B., Kosmidis, G., Samson-Couterie, B., Mol, M. P. H., van Helden, R. W. J., Razaghi, E., François, L., Meraviglia, V., Yiangou, L., et al. (2025) · Trends in biotechnology · doi:10.1016/j.tibtech.2025.11.016 · Cited by 5 · see citing works
McAteer, M. A., McGowan, D. R., Cook, G., Leung, H. Y., Ng, T., O’Connor, J. P. B., Aloj, L., Barnes, A., Blower, P. J., Brindle, K. M., et al. (2025) · BMC Medicine · doi:10.1186/s12916-024-03831-z · Cited by 5 · see citing works
Optimal dosing of anti-cancer treatment under drug-induced plasticity
Gunnarsson, E. B., Magnússon, B. V., & Foo, J. (2025) · npj Systems Biology and Applications · doi:10.1038/s41540-025-00571-5 · Cited by 6 · see citing works
Application and progress of 3D tumor models in breast cancer
Xu, J., Fang, W., Zhou, H., Jiang, R., Chen, Z., & Wang, X. (2024) · Biotechnology and Bioengineering · doi:10.1002/bit.28860 · Cited by 5 · see citing works
Gelatin methacryloyl biomaterials and strategies for trophoblast research
Zambuto, S. G., Kolluru, S. S., Harley, B. A. C., & Oyen, M. L. (2024) · Placenta · doi:10.1016/j.placenta.2024.09.016 · Cited by 3 · see citing works
Editorial: Organ mimicking technologies and their applications in drug discovery
Zhang, X., Luo, Y., & Wang, Q. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1341153 · Cited by 3 · see citing works
Li, W., McLeod, D. G., Antonevich, S., Pozo, M. R., Li, Z., & Entcheva, E. G. (2025) · Journal of Molecular and Cellular Cardiology Plus · doi:10.1016/j.jmccpl.2025.100464 · Cited by 2 · see citing works
Callaghan, N. I., Durland, L. J., CHEN, W., Kuzmanov, U., Miranda, M. Z., Ding, Y., Mirzaei, Z., Ireland, R. G., Reitz, C. J., Gorman, R. A., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70550-9 · Cited by 2 · see citing works
Microfluidic platforms for preclinical evaluation of immunotherapies
Massaro, A., Blackledge, C. W., & Shelton, S. E. (2026) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2026.115918 · Cited by 1 · see citing works
Targeting an atypical G protein–coupled receptor signaling pathway for cardiac fibrosis therapy
Zhang, H., Shivnaraine, R. V., Ren, L., Thai, P. N., Janicot, R., Zhu, W., Huang, R., Siepe, D. H., Tu, C., Liu, W., et al. (2026) · Science · doi:10.1126/science.aej5896 · Cited by 1 · see citing works
Self-citationLopez-Munoz, C., Bowers, N. J., & Marchianò, S. (2025) · Current Treatment Options in Cardiovascular Medicine · doi:10.1007/s11936-025-01079-1 · Cited by 1 · see citing works
Introducing AHA's New President: Joseph C. Wu, MD, PhD, FAHA
Kuehn, B. M. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.123.031618 · Cited by 1 · see citing works
de Korte, T., Johnson, B. B., Kosmidis, G., Samson-Couterie, B., Mol, M. P. H., van Helden, R. W. J., François, L., Meraviglia, V., Yiangou, L., Kuipers, T., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.29.626032 · Cited by 1 · see citing works
Hecking, J., Cano-Jorge, M., Passier, R., & Rivera-Arbeláez, J. M. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1719533
Drug Development Using Human iPSC-Derived Cardiomyocytes and Future Perspectives
Kawagishi, H., Yanagida, S., & Kanda, Y. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95488-4.00078-4
Applications, Limitations, and Considerations of Clinical Trials in a Dish
Mir, A., Zhu, A., Lau, R., Barr, N., SHEIKH, Z., Acuna, D., Dayal, A., & Hibino, N. (2024) · Bioengineering · doi:10.3390/bioengineering11111096
The Add-to-Cart Revolution in Biologics Development: From Laboratory Modeling to Digital OrderingPreprint
Santos, M. D. L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5388929
Li, W., Forouzandehmehr, M., McLeod, D. G., Pozo, M. R., Heinson, Y. W., Kay, M. W., Li, Z., Morotti, S., & Entcheva, E. G. (2026) · Journal of Molecular and Cellular Cardiology Plus · doi:10.1016/j.jmccpl.2026.100834
Fiedler, M. J., Vásquez‐Limeta, A., Reyes-Sanchez, E., Carter, L., & Altamirano, F. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.11.705466
Gavlock, D. C., Castiglione, M. W., Wang, A., Varmazyad, M., Vernetti, L. A., Schurdak, M. E., Taylor, D. L., Brown, J. A., & Miedel, M. T. (2026) · Experimental Biology and Medicine · doi:10.3389/ebm.2026.11038
Advancing Reproductive Tissue Engineering with Bioprinting
Xiao, P. W., & Wolf, K. J. (2026) · Springer eBooks · doi:10.1007/978-3-032-10745-9_23
Integration of biological avatars and digital twins for “ex vivo clinical trials”
Howe, C. L. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106467
Wolf, K. J., Rubins, J. E., van Gaal, R. C., Stevens, K., Klaus, A. N., Nair, P., & Lewis, J. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.27.754790
Scientific slop: generative AI, research incentives, and the integrity of the genomic knowledge base
Greenbaum, D. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2026.1894137
Fiedler, M. J., Vásquez‐Limeta, A., Reyes-Sanchez, E., Carter, L., & Altamirano, F. J. (2026) · Advanced Science · doi:10.1002/advs.78429
- Authors
- Ahmed, S. M., Shivnaraine, R. V., & Wu, J. C.
- Affiliations
- Stanford Cardiovascular Institute (US)
- Stanford Medicine (US)
- Venue
- Circulation
- Published
- 2023-07-25
- Volume
- 148
- Issue
- 4
- Pages
- 309-311
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- PMC
- PMC10902210
- OpenAlex
- W4385216125
- Cited by
- 46
- References
- 5
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 16 · 2023: 3
- FWCI
- 14.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R44HL170756)
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Health Sciences › Medicine › Physiology › Biomedical Ethics and Regulation
- Health Sciences › Health Professions › Health Information Management › Healthcare Regulation
- Keywords
- new approach methodologies, alternatives to animal testing, drug safety assessment, computational biology, human induced pluripotent stem cells, drug approval, Federal Food, Drug, and Cosmetic Act
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review