2023 in Testimonial
Health And Wellness Research + Innovation: A Juncture
Palantir Foundry has actually long contributed in accelerating the study searchings for of our health and life science partners, helping accomplish unmatched insights, improve information access, improve information use, and help with advanced visualization and evaluation of information sources– all while safeguarding the personal privacy and security of the backing information
In 2023, Factory supported over 50 peer-reviewed publications in prestigious journals, covering a varied variety of topics– from health center operations, to oncological medicines, to discovering modalities. The year prior, our software application supported a document variety of peer-reviewed magazines, which we highlighted in a previous article
Our companions’ foundational financial investments in technological framework during the optimal of the COVID- 19 pandemic has made the remarkable quantity of publications feasible.
Public and business health care partners have actually proactively scaled their financial investments in data sharing and research software application past COVID response to construct a much more comprehensive information structure for biomedical study. For instance, the N 3 C Enclave — which houses the data of 21 5 M clients from throughout almost 100 organizations– is being made use of daily by countless scientists throughout firms and organizations. Given the complexity of accessing, organizing, and harnessing ever-expanding biomedical data, the demand for similar research sources continues to increase.
In this blog post, we take a closer consider some noteworthy magazines from 2023 and examine what exists ahead for software-backed research.
Emerging Innovation and the Velocity of Scientific Research Study
The effect of new innovations on the scientific business is increasing research-based outputs at a previously impossible range. Emerging technologies and advanced software are aiding create a lot more specific, organized, and obtainable information properties, which subsequently are allowing scientists to deal with increasingly intricate scientific difficulties. Specifically, as a modular, interoperable, and flexible platform, Foundry has actually been used to support a varied range of scientific studies with one-of-a-kind research study features, including AI-assisted rehabs recognition, real-world evidence generation, and much more.
In 2023, the industry has likewise seen a rapid growth in rate of interest around making use of Artificial Intelligence (AI)– and in particular, generative AI and big language models (LLM)– in the wellness and life scientific research domain names. Alongside other core technical innovations (e.g., around data high quality and use), the capacity for AI-enabled software application to increase scientific research study is a lot more appealing than ever. As a commercial leader in AI-enabled software, Palantir has been at the leading edge of finding liable, safe, and efficient methods to use AI-enabled abilities to support our companions across markets in accomplishing their crucial missions.
Over the previous year, Palantir software program aided drive vital components of our partners’ research study and we stand prepared to continue collaborating with our companions in federal government, sector, and civil society to deal with the most important difficulties in health and wellness and science ahead. In the next area, we supply concrete instances of exactly how the power of software program can help development clinical research study, highlighting some essential biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Shop
Along with a number of essential cancer and COVID therapy research studies, Palantir Shop also allowed brand-new findings in the more comprehensive area of research study method. Listed below, we highlight an example of several of the most impactful peer-reviewed write-ups published in 2023 that made use of Palantir Factory to aid drive their study.
Determining brand-new reliable medicine mixes for multiple myeloma
- Magazine : Cancer 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 : Several myeloma (MM) is often resistant to drug therapy, calling for ongoing exploration to identify brand-new, reliable healing combinations. In this study, scientists used high-throughput medicine screening to determine over 1900 compounds with task against at least 25 of the 47 MM cell lines evaluated. From these 1900 compounds, 3 61 million mixes were assessed in silico, and sets of substances with highly correlated activity throughout the 47 cell lines and various devices of activity were chosen for more evaluation. Specifically, six (6 medication combinations worked at 1 lowering over-expression of an essential protein (MYC) that is usually connected to the production of deadly cells and 2 raised expression of the p 16 healthy protein, which can help the body suppress tumor development. Moreover, 3 (3 identified medicine mixes raised chances of survival and decreased the growth of cancer cells, in part by lowering activity of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life process. These preclinical findings recognize potentially helpful unique medicine combinations for difficult to deal with numerous myeloma.
New rank-based protein category technique to improve glioblastoma therapy
- Magazine : 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 kind of cancerous brain growths, vary significantly, restricting the ability to evaluate the organic aspects that drive whether glioblastomas will respond to therapy. However, information evaluation of the proteome– the entire set of healthy proteins that can be shared by the tumor– can 1 offer non-invasive techniques of categorizing glioblastomas to assist inform therapy and 2 identify healthy protein biomarkers related to treatments to assess response to treatment. In this research, researchers created and examined a novel rank-based weighting approach (“RadWise”) for healthy protein includes to aid ML algorithms focus on the one of the most pertinent aspects that suggest post-therapy end results. RadWise offers a more effective path to recognize the healthy proteins and features that can be crucial targets for therapy of these hostile, deadly tumors.
Identifying liver cancer cells subtypes likely to respond to immunotherapy
- Publication : Cell Records Medicine
- 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.
- Summary : Liver cancer cells is an increasing source of cancer cells fatalities in the US. This research explored variant in patient results for a kind of immunotherapy using immune checkpoint inhibitors. Researchers noted that particular molecular subtypes of cancer, specified 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 assist medical professionals identify whether a patient’s one-of-a-kind cancer cells is most likely to react to this kind of treatment, suggesting they can apply extra targeted use immunotherapy and improve probability of success.
Applying formulas to EHR information to presume maternity timing for more accurate mother’s health and wellness research
- Publication : JAMIA, Female’s Health and wellness Special Edition
- 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.
- Recap : There are indications that COVID- 19 can trigger pregnancy difficulties, and expecting persons seem at higher danger for a lot more severe COVID- 19 infection. Analysis of health document (EHR) information can help offer even more understanding, however due to data variances, it is usually tough to ascertain 1 pregnancy start and end dates and 2 gestational age of the infant at birth. To aid, researchers adapted an existing formula for identifying gestational age and maternity length that relies on diagnostic codes and shipment dates. To raise the accuracy of this algorithm, the scientists layered by themselves data-driven algorithms to exactly presume pregnancy begin, pregnancy end, and site period throughout a maternity’s progression while likewise dealing with EHR data inconsistency. This technique can be reliably utilized to make the fundamental reasoning of pregnancy timing and can be applied to future pregnancy and maternal study on topics such as adverse pregnancy outcomes and mother’s death.
An unique technique for fixing EHR information top quality issues for medical encounters
- Publication : 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 : Professional experience data can be an abundant resource for research, but it commonly differs significantly across providers, facilities, and organizations, making it hard to consistently examine. This variance is multiplied when multisite electronic wellness document (EHR) information is networked together in a main database. In this research study, researchers created an unique, generalizable approach for dealing with professional experience information for evaluation by incorporating associated experiences into composite “macrovisits.” This technique aids control and resolve EHR encounter data issues in a generalizable, repeatable method, enabling scientists to more easily unlock the potential of this rich data for large studies.
Improving transparency in phenotyping for Long COVID research 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 RECOVER Consortia
- Recap : Phenotyping, the procedure of reviewing and classifying an organism’s characteristics, can help researchers better comprehend the distinctions in between individuals and groups of people, and to recognize details characteristics that may be connected to certain illness or conditions. Artificial intelligence (ML) can assist obtain phenotypes from information, but these are challenging to share and recreate due to their intricacy. Scientists in this research study designed and educated an ML-based phenotype to identify clients very probable to have Long COVID, a progressively immediate public health consideration, and showed applicability of this technique for other settings. This is a success tale of exactly how clear technology and partnership can make phenotyping formulas more accessible to a broad target market of researchers in informatics, lowering duplicated work and providing them with a device to reach understandings much faster, consisting of for various other conditions.
Browsing difficulties for multisite real world data (RWD) databases
- Publication : BMC Medical Research Methodology
- Writers : Sidky, H., Young, 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 : Dealing with large scale streamlined EHR databases such as N 3 C for research calls for specialized expertise and mindful examination of data high quality and efficiency. This study analyzes the process of analyzing data quality in preparation for study, concentrating on medication effectiveness researches. Researchers recognized a number of methods and best practices to better characterize important research study components including direct exposure to therapy, baseline health comorbidities, and vital results of rate of interest. As large range, streamlined real world data sources come to be much more prevalent, this is a useful step forward in assisting researchers better navigate their special information obstacles while unlocking essential applications for medication development.
What’s Following for Health And Wellness Study at Palantir
While 2023 saw vital progress, the new year brings with it new possibilities, along with an urgency to use the most up to date technical developments to the most important wellness problems encountering people, communities, and the public at large. For instance, in 2023, the U.S. Government declared its dedication to combating systemic conditions such as cancer cells, and also launched a brand-new health company, the Advanced Study Projects Company for Health And Wellness ( ARPA-H
Furthermore, in 2024, Palantir is honored to be a sector companion in the ingenious National AI Study Source (NAIRR) pilot program , produced under the auspices of the National Scientific Research Foundation (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Management’s Exec Order on Artificial Intelligence — Palantir will certainly be dealing with its veteran companions at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain study in advancing risk-free, safe and secure, and trustworthy AI, as well as the application of AI to difficulties in health care.
In 2024, we’re excited to work with companions, brand-new and old, on issues of important value, applying our discoverings on data, tools, and study to aid make it possible for purposeful renovations in health outcomes for all.
To learn more about our continuing work across health and wellness and life sciences, see https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies