2023 in Review
Health And Wellness Study + Technology: A Transition
Palantir Factory has long been instrumental in accelerating the study findings of our health and life science companions, helping achieve unprecedented understandings, enhance data accessibility, improve information functionality, and facilitate advanced visualization and evaluation of data resources– all while safeguarding the personal privacy and safety of the support data
In 2023, Factory sustained over 50 peer-reviewed publications in prestigious journals, covering a diverse number of subjects– from hospital operations, to oncological medicines, to learning techniques. The year prior, our software sustained a document number of peer-reviewed magazines, which we highlighted in a previous post
Our partners’ foundational financial investments in technological framework throughout the top of the COVID- 19 pandemic has made the remarkable quantity of magazines feasible.
Public and commercial healthcare companions have proactively scaled their investments in data sharing and research study software application past COVID response to construct an extra thorough information foundation for biomedical study. For instance, the N 3 C Enclave — which houses the data of 21 5 M clients from across nearly 100 establishments– is being used everyday by thousands of researchers across firms and companies. Given the complexity of accessing, organizing, and utilizing ever-expanding biomedical data, the demand for comparable study sources remains to increase.
In this post, we take a closer check out some significant publications from 2023 and analyze what exists ahead for software-backed research study.
Emerging Innovation and the Acceleration of Scientific Study
The impact of brand-new innovations on the clinical enterprise is increasing research-based outputs at a formerly difficult scale. Arising innovations and progressed software program are aiding develop a lot more specific, arranged, and obtainable data assets, which in turn are allowing scientists to deal with significantly intricate clinical challenges. In particular, as a modular, interoperable, and flexible system, Shop has been utilized to sustain a varied series of scientific research studies with one-of-a-kind study features, including AI-assisted therapeutics identification, real-world evidence generation, and much more.
In 2023, the sector has additionally seen an exponential development in passion around using Artificial Intelligence (AI)– and particularly, generative AI and huge language models (LLM)– in the wellness and life science domains. Along with other core technological innovations (e.g., around information top quality and use), the capacity for AI-enabled software to speed up scientific study is a lot more encouraging than ever before. As a business leader in AI-enabled software, Palantir has actually gone to the leading edge of finding responsible, protected, and effective means to use AI-enabled capabilities to support our partners across sectors in attaining their essential missions.
Over the previous year, Palantir software program helped drive vital components of our companions’ research study and we stand ready to proceed interacting with our companions in federal government, market, and civil society to take on the most important obstacles in health and wellness and scientific research in advance. In the following area, we give concrete examples of just how the power of software program can assist breakthrough scientific study, highlighting some essential biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Factory
Along with a number of important cancer and COVID treatment research studies, Palantir Shop also made it possible for new searchings for in the more comprehensive field of research methodology. Listed below, we highlight a sample of a few of the most impactful peer-reviewed short articles released in 2023 that used Palantir Shop to help drive their study.
Recognizing new efficient medicine combinations for multiple myeloma
- Magazine : Cancer cells Letters
- Writers : 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.
- Recap : Numerous myeloma (MM) is often immune to medication therapy, calling for continued expedition to identify brand-new, efficient restorative mixes. In this study, researchers used high-throughput medicine testing to identify over 1900 substances with activity versus a minimum of 25 of the 47 MM cell lines examined. From these 1900 substances, 3 61 million mixes were examined in silico, and pairs of substances with very associated activity throughout the 47 cell lines and different mechanisms of activity were selected for additional analysis. Especially, 6 (6 medicine combinations were effective at 1 decreasing over-expression of an essential protein (MYC) that is commonly linked to the manufacturing of malignant cells and 2 enhanced expression of the p 16 protein, which can help the body suppress lump growth. Moreover, three (3 identified medicine mixes increased possibilities of survival and decreased the growth of cancer cells, partially by reducing activity of pathways associated with TGFβ/ SMAD signaling, which regulate the cell life process. These preclinical findings identify possibly valuable novel medicine mixes for hard to treat multiple myeloma.
New rank-based protein category method to boost glioblastoma therapy
- Publication : Cancers
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, one of the most typical sort of malignant brain tumors, differ greatly, limiting the capability to assess the organic elements that drive whether glioblastomas will certainly reply to therapy. Nonetheless, data analysis of the proteome– the entire collection of healthy proteins that can be shared by the tumor– can 1 deal non-invasive methods of categorizing glioblastomas to aid educate treatment and 2 determine protein biomarkers associated with interventions to evaluate response to therapy. In this research study, scientists developed and examined a novel rank-based weighting method (“RadWise”) for healthy protein features to aid ML algorithms concentrate on the one of the most appropriate variables that indicate post-therapy results. RadWise provides an extra effective path to recognize the proteins and attributes that can be key targets for treatment of these aggressive, fatal growths.
Identifying liver cancer cells subtypes most likely to react to immunotherapy
- Publication : Cell Records Medicine
- Authors : 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 is a climbing reason for cancer fatalities in the United States. This study examined variation in person results for a type of immunotherapy utilizing immune checkpoint inhibitors. Scientist kept in mind that specific molecular subtypes of cancer cells, specified by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival prices with immune checkpoint prevention therapy. Determining these molecular subtypes can aid doctors recognize whether a patient’s special cancer cells is likely to react to this kind of treatment, implying they can use much more targeted use of immunotherapy and enhance probability of success.
Using algorithms to EHR data to presume maternity timing for more exact mother’s health study
- Magazine : JAMIA, Female’s Wellness Scandal sheet
- Authors : 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 indicators that COVID- 19 can cause maternity difficulties, and expectant individuals seem at greater risk for more serious COVID- 19 infection. Evaluation of wellness record (EHR) information can help supply more understanding, however because of information variances, it is commonly tough to establish 1 pregnancy beginning and end dates and 2 gestational age of the child at birth. To assist, researchers adapted an existing algorithm for establishing gestational age and pregnancy size that relies on diagnostic codes and shipment dates. To boost the accuracy of this formula, the scientists layered on their own data-driven formulas to exactly presume maternity start, maternity end, and site amount of time throughout a pregnancy’s progression while also resolving EHR information inconsistency. This method can be dependably made use of to make the fundamental reasoning of maternity timing and can be related to future pregnancy and maternity research on topics such as unfavorable maternity end results and mother’s mortality.
A novel technique for dealing with EHR information high quality problems for professional experiences
- Magazine : JAMIA
- Writers : 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 : Medical experience data can be an abundant resource for research study, yet it usually differs greatly throughout companies, facilities, and institutions, making it hard to evenly assess. This incongruity is amplified when multisite digital wellness record (EHR) information is networked together in a central database. In this study, scientists developed an unique, generalizable approach for settling clinical encounter information for evaluation by incorporating associated experiences into composite “macrovisits.” This method helps control and fix EHR encounter data concerns in a generalizable, repeatable method, permitting scientists to extra quickly unlock the potential of this abundant information for large research studies.
Improving openness in phenotyping for Long COVID research study and beyond
- Publication : Journal of the American Medical Informatics Organization
- Writers : 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 RECOVER Consortia
- Recap : Phenotyping, the procedure of reviewing and categorizing an organism’s features, can aid scientists much better understand the distinctions between people and groups of people, and to determine specific characteristics that might be linked to particular illness or conditions. Artificial intelligence (ML) can aid acquire phenotypes from information, however these are testing to share and reproduce because of their complexity. Researchers in this research study devised and trained an ML-based phenotype to identify individuals very possible to have Lengthy COVID, a progressively immediate public wellness consideration, and showed applicability of this technique for various other settings. This is a success story of exactly how transparent modern technology and cooperation can make phenotyping algorithms more available to a wide target market of researchers in informatics, lowering duplicated job and providing them with a tool to reach understandings much faster, consisting of for various other illness.
Navigating obstacles for multisite real life data (RWD) data sources
- Magazine : BMC Medical Study Technique
- 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
- Summary : Working with huge scale centralized EHR data sources such as N 3 C for research calls for specialized understanding and cautious evaluation of information high quality and efficiency. This research analyzes the procedure of examining data high quality in preparation for research study, concentrating on medication efficacy research studies. Researchers determined numerous methods and best techniques to much better characterize important study components including exposure to therapy, baseline wellness comorbidities, and vital end results of rate of interest. As large range, centralized real life data sources end up being a lot more common, this is a useful progression in assisting scientists better navigate their distinct data obstacles while unlocking important applications for medicine development.
What’s Following for Health And Wellness Study at Palantir
While 2023 saw crucial development, the brand-new year brings with it brand-new opportunities, as well as an urgency to apply the most recent technical improvements to one of the most essential wellness issues facing individuals, neighborhoods, and the public at big. As an example, in 2023, the united state Federal government declared its commitment to combating systemic diseases such as cancer, and even introduced a new health company, the Advanced Research Study Projects Company for Wellness ( ARPA-H
In addition, in 2024, Palantir is pleased to be a sector partner in the cutting-edge National AI Study Source (NAIRR) pilot program , developed under the auspices of the National Scientific Research Foundation (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was directed by the Biden Management’s Exec Order on Expert System — Palantir will certainly be working with its long-time companions at the National Institutes of Health (NIH) and N 3 C to sustain research study ahead of time risk-free, secure, and credible AI, in addition to the application of AI to challenges in medical care.
In 2024, we’re excited to deal with partners, new and old, on issues of essential importance, using our knowings on information, tools, and research to aid make it possible for purposeful improvements in health and wellness end results for all.
To find out more regarding our continuing job throughout health and wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies