2023 in Review
Health Study + Technology: A Pivotal Moment
Palantir Shop has long been instrumental in accelerating the study findings of our wellness and life scientific research partners, helping accomplish unmatched insights, streamline data access, enhance data usability, and promote sophisticated visualization and evaluation of information sources– all while protecting the personal privacy and safety of the support data
In 2023, Foundry sustained over 50 peer-reviewed publications in prestigious journals, covering a varied variety of topics– from healthcare facility operations, to oncological medicines, to learning techniques. The year prior, our software program supported a record variety of peer-reviewed publications, which we highlighted in a prior blog post
Our companions’ fundamental investments in technical infrastructure during the height of the COVID- 19 pandemic has made the outstanding quantity of magazines feasible.
Public and industrial health care partners have proactively scaled their financial investments in information sharing and study software beyond COVID feedback to develop a more detailed information foundation for biomedical research. For example, the N 3 C Enclave — which houses the data of 21 5 M clients from throughout virtually 100 institutions– is being used daily by hundreds of scientists across agencies and organizations. Provided the complexity of accessing, arranging, and using ever-expanding biomedical data, the demand for comparable study resources continues to climb.
In this blog post, we take a closer take a look at some notable magazines from 2023 and analyze what lies in advance for software-backed study.
Arising Innovation and the Acceleration of Scientific Research
The influence of new modern technologies on the clinical venture is increasing research-based outcomes at a formerly difficult scale. Arising technologies and advanced software are aiding produce much more exact, organized, and accessible information possessions, which consequently are allowing researchers to take on significantly complicated scientific obstacles. Particularly, as a modular, interoperable, and versatile system, Foundry has been made use of to support a diverse series of scientific researches with unique research study features, consisting of AI-assisted therapeutics recognition, real-world evidence generation, and more.
In 2023, the industry has also seen an exponential development in rate of interest around making use of Expert system (AI)– and in particular, generative AI and large language models (LLM)– in the health and life science domains. Together with various other core technical improvements (e.g., around data top quality and usability), the capacity for AI-enabled software to accelerate clinical study is more encouraging than ever. As an industrial leader in AI-enabled software, Palantir has actually gone to the leading edge of finding accountable, safe, and effective methods to apply AI-enabled capabilities to sustain our partners throughout industries in attaining their crucial goals.
Over the past year, Palantir software program aided drive essential elements of our partners’ research and we stand all set to continue working together with our companions in government, market, and civil culture to take on the most pressing obstacles in health and science ahead. In the next area, we give concrete instances of how the power of software application can aid breakthrough clinical study, highlighting some vital biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Factory
Along with a number of vital cancer and COVID therapy studies, Palantir Shop also made it possible for brand-new searchings for in the wider area of research methodology. Listed below, we highlight a sample of a few of the most impactful peer-reviewed write-ups published in 2023 that used Palantir Factory to assist drive their research study.
Determining new effective drug mixes for multiple myeloma
- Publication : Cancer cells Letters
- Authors : Peat, T.J., Gaikwad, S.M., Dubois, W., Gyabaah-Kessie, N., Zhang, S., Gorjifard, S., Phyo, Z., Andres, M., Hughitt, V.K., Simpson, R.M., Miller, M.A., Girvin, A.T., Taylor, A., Williams, D., D’Antonio, N., Zhang, Y., Rajagopalan, A., Flietner, E., Wilson, K., Zhang, X., Shinn, P., Klumpp-Thomas, C., McKnight, C., Itkin, Z., Chen, L., Kazandijian, D., Zhang, J., Michalowski, A.M., Simmons, J.K., Keats, J., Thomas, C.J., Mock, B.A.
- Summary : Numerous myeloma (MM) is frequently immune to medicine therapy, requiring ongoing exploration to recognize brand-new, efficient therapeutic mixes. In this research study, scientists utilized high-throughput medication testing to determine over 1900 compounds with activity versus at least 25 of the 47 MM cell lines examined. From these 1900 substances, 3 61 million mixes were assessed in silico, and sets of compounds with extremely correlated activity across the 47 cell lines and different mechanisms of action were selected for more analysis. Particularly, six (6 medication mixes worked at 1 lowering over-expression of an essential healthy protein (MYC) that is typically linked to the manufacturing of deadly cells and 2 boosted expression of the p 16 protein, which can help the body suppress lump development. Additionally, three (3 determined medicine mixes boosted chances of survival and decreased the growth of cancer cells, partially by minimizing task of pathways involved in TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings determine potentially beneficial unique medication combinations for hard to treat numerous myeloma.
New rank-based protein classification method to improve glioblastoma therapy
- Publication : Cancers
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, one of the most usual type of cancerous brain lumps, differ substantially, limiting the capacity to analyze the biological elements that drive whether glioblastomas will certainly react to treatment. Nevertheless, information evaluation of the proteome– the entire set of proteins that can be revealed by the tumor– can 1 offer non-invasive methods of identifying glioblastomas to help educate treatment and 2 recognize protein biomarkers connected with interventions to examine feedback to treatment. In this research, scientists developed and checked an unique rank-based weighting method (“RadWise”) for protein includes to assist ML algorithms concentrate on the one of the most relevant aspects that indicate post-therapy results. RadWise supplies an extra efficient path to determine the proteins and features that can be key targets for therapy of these aggressive, deadly tumors.
Determining liver cancer cells subtypes likely to respond to immunotherapy
- Publication : Cell Reports Medication
- Writers : Budhu, A., Pehrsson, E.C., He, A., Goyal, L., Kelley, R.K., Dang, H., Xie, C., Monge, C., Tandon, M., Ma, L., Revsine, M., Kuhlman, L., Zhang, K., Baiev, I., Lamm, R., Patel, K., Kleiner, D.E., Hewitt, S.M., Tran, B., Shetty, J., Wu, X., Zhao, Y., Shen, T.W., Choudhari, S., Kriga, Y., Ylaya, K., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer cells is an increasing cause of cancer cells deaths in the United States. This study investigated variation in individual end results for a kind of immunotherapy using immune checkpoint preventions. Researchers noted that specific molecular subtypes of cancer cells, defined by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint inhibitor therapy. Determining these molecular subtypes can help doctors determine whether a person’s distinct cancer is most likely to reply to this kind of intervention, implying they can apply more targeted use of immunotherapy and enhance likelihood of success.
Applying formulas to EHR data to infer maternity timing for even more exact mother’s health and wellness research study
- Publication : JAMIA, Female’s Health and wellness Scandal sheet
- Writers : Jones, S., Bradwell, K.R. *, Chan, L.E., McMurry, J.A., Olson-Chen, C., Tarleton, J., Wilkins, K.J., Qin, Q., Faherty, E.G., Lau, Y.K., Xie, C., Kao, Y.H., Liebman, M.N., Ljazouli, S. *, Mariona, F., Challa, A., Li, L., Ratcliffe, S.J., Haendel, M.A., Patel, R.C., Hill, E.L.
- Summary : There are signs that COVID- 19 can trigger pregnancy complications, and expectant persons appear to be at greater danger for much more severe COVID- 19 infection. Evaluation of health record (EHR) data can assist give more understanding, but due to data inconsistencies, it is usually challenging to ascertain 1 maternity beginning and end dates and 2 gestational age of the infant at birth. To help, scientists adjusted an existing algorithm for figuring out gestational age and maternity length that relies upon analysis codes and shipment days. To increase the precision of this formula, the researchers layered on their own data-driven algorithms to exactly infer maternity begin, pregnancy end, and spots time frames throughout a maternity’s progression while additionally resolving EHR data disparity. This method can be reliably utilized to make the fundamental inference of maternity timing and can be put on future maternity and pregnancy research on topics such as damaging pregnancy end results and mother’s death.
An unique method for resolving EHR information top quality issues for professional experiences
- Magazine : JAMIA
- Authors : Leese, P., Anand, A., Girvin, A. *, Manna, A. *, Patel, S., Yoo, Y.J., Wong, R., Haendel, M., Chute, C.G., Bennett, T., Hajagos, J., Pfaff, E., Moffitt, R.
- Recap : Scientific experience information can be a rich resource for research study, however it frequently varies greatly across suppliers, facilities, and establishments, making it tough to evenly examine. This incongruity is amplified when multisite electronic wellness document (EHR) information is networked together in a central database. In this study, researchers developed a novel, generalizable method for settling professional encounter data for analysis by combining related experiences into composite “macrovisits.” This technique aids control and deal with EHR encounter information issues in a generalizable, repeatable means, allowing scientists to a lot more conveniently unlock the possibility of this abundant information for large-scale researches.
Improving transparency in phenotyping for Long COVID research study and past
- Publication : Journal of the American Medical Informatics Organization
- Authors : Pfaff, E.R., Girvin, A.T. *, Crosskey, M., Gangireddy, S., Master, H., Wei, W.Q., Kerchberger, V.E., Weiner, M., Harris, P.A., Basford, M., Lunt, C., Chute, C.G., Moffitt, R.A., Haendel, M.; N 3 C and Recuperate Consortia
- Summary : Phenotyping, the process of evaluating and classifying an organism’s features, can help researchers much better recognize the distinctions between individuals and teams of individuals, and to determine details characteristics that might be linked to particular conditions or conditions. Machine learning (ML) can assist obtain phenotypes from data, however these are testing to share and reproduce due to their intricacy. Scientists in this research created and educated an ML-based phenotype to determine individuals highly likely to have Lengthy COVID, a progressively urgent public wellness factor to consider, and revealed applicability of this approach for various other environments. This is a success tale of exactly how transparent technology and cooperation can make phenotyping algorithms more accessible to a broad audience of scientists in informatics, reducing copied work and supplying them with a device to reach insights faster, including for various other illness.
Browsing difficulties for multisite real world information (RWD) databases
- Publication : BMC Medical Research Approach
- Writers : Sidky, H., Youthful, J.C., Girvin, A.T. *, Lee, E., Shao, Y.R., Hotaling, N., Michael, S., Wilkins, K.J., Setoguchi, S., Funk, M.J.; N 3 C Consortium
- Recap : Working with large range centralized EHR databases such as N 3 C for research study calls for specialized expertise and careful examination of data top quality and efficiency. This research takes a look at the procedure of assessing information top quality in preparation for study, concentrating on drug efficiency research studies. Researchers identified several approaches and finest methods to better identify important research study components including direct exposure to treatment, standard health comorbidities, and key results of passion. As big scale, centralized real life databases become more common, this is a handy progression in aiding researchers more effectively browse their one-of-a-kind data difficulties while opening vital applications for medication growth.
What’s Next for Health And Wellness Research at Palantir
While 2023 saw important development, the new year brings with it new opportunities, along with a seriousness to apply the most recent technological improvements to the most important health and wellness problems dealing with individuals, communities, and the public at large. For instance, in 2023, the U.S. Federal government declared its dedication to combating systemic illness such as cancer, and also introduced a new health and wellness agency, the Advanced Research Projects Company for Health And Wellness ( ARPA-H
Furthermore, in 2024, Palantir is proud to be a market partner in the ingenious National AI Study Resource (NAIRR) pilot program , produced under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Administration’s Exec Order on Artificial Intelligence — Palantir will be collaborating with its veteran companions at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain study in advancing secure, safe, and reliable AI, as well as the application of AI to obstacles in healthcare.
In 2024, we’re excited to work with partners, new and old, on issues of important value, using our discoverings on data, tools, and study to assist make it possible for purposeful improvements in health outcomes for all.
To get more information regarding our proceeding job throughout health and life sciences, visit https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies