2023 in Review
Wellness Study + Technology: A Turning Point
Palantir Factory has long contributed in speeding up the research findings of our health and wellness and life science partners, assisting accomplish unmatched insights, simplify data access, improve data use, and promote advanced visualization and analysis of data resources– all while securing the personal privacy and security of the support data
In 2023, Factory sustained over 50 peer-reviewed magazines in well-regarded journals, covering a diverse number of topics– from health center operations, to oncological medicines, to learning techniques. The year prior, our software application supported a record variety of peer-reviewed publications, which we highlighted in a prior blog post
Our partners’ fundamental investments in technological facilities during the height of the COVID- 19 pandemic has made the outstanding amount of publications feasible.
Public and business healthcare companions have proactively scaled their investments in data sharing and study software beyond COVID action to build an extra detailed information foundation for biomedical research. For example, the N 3 C Enclave — which houses the data of 21 5 M people from across almost 100 organizations– is being made use of everyday by thousands of researchers throughout firms and organizations. Provided the intricacy of accessing, arranging, and harnessing ever-expanding biomedical information, the demand for similar study sources remains to climb.
In this article, we take a closer consider some significant magazines from 2023 and analyze what lies in advance for software-backed research study.
Emerging Modern Technology and the Acceleration of Scientific Study
The influence of new innovations on the scientific business is speeding up research-based outputs at a formerly difficult range. Arising innovations and progressed software application are aiding produce a lot more specific, organized, and available data possessions, which subsequently are allowing scientists to deal with progressively intricate scientific challenges. In particular, as a modular, interoperable, and adaptable platform, Foundry has actually been utilized to support a varied range of clinical researches with unique study features, including AI-assisted therapeutics identification, real-world evidence generation, and a lot more.
In 2023, the market has additionally seen an exponential development in rate of interest around utilizing Expert system (AI)– and particularly, generative AI and large language models (LLM)– in the health and life science domain names. Along with various other core technological developments (e.g., around information quality and usability), the potential for AI-enabled software application to increase scientific research is more promising than ever before. As a commercial leader in AI-enabled software application, Palantir has been at the forefront of searching for accountable, safe, and effective methods to use AI-enabled capabilities to support our companions across sectors in attaining their most important objectives.
Over the previous year, Palantir software program assisted drive crucial components of our companions’ study and we stand ready to proceed collaborating with our companions in government, industry, and civil society to tackle one of the most pressing obstacles in health and scientific research ahead. In the following section, we supply concrete instances of just how the power of software program can assist advance scientific research study, highlighting some key biomedical magazines powered by Foundry in 2023
2023 Publications Powered by Palantir Factory
Along with a variety of important cancer and COVID therapy researches, Palantir Factory additionally allowed brand-new searchings for in the wider field of research study methodology. Listed below, we highlight a sample of several of the most impactful peer-reviewed write-ups published in 2023 that utilized Palantir Shop to assist drive their study.
Identifying brand-new reliable medication mixes for several myeloma
- Publication : Cancer 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.
- Recap : Multiple myeloma (MM) is often immune to medication treatment, calling for continued exploration to identify brand-new, efficient healing mixes. In this research study, scientists used high-throughput medication testing to determine over 1900 compounds with activity against at least 25 of the 47 MM cell lines examined. From these 1900 compounds, 3 61 million combinations were reviewed in silico, and pairs of substances with very associated task throughout the 47 cell lines and various mechanisms of activity were picked for further analysis. Especially, six (6 medication combinations were effective at 1 minimizing over-expression of a vital healthy protein (MYC) that is frequently connected to the production of malignant cells and 2 raised expression of the p 16 healthy protein, which can assist the body suppress tumor growth. In addition, three (3 identified medication mixes boosted possibilities of survival and lowered the growth of cancer cells, partially by decreasing task of pathways involved in TGFβ/ SMAD signaling, which control the cell life process. These preclinical findings determine possibly useful unique medicine mixes for difficult to treat several myeloma.
New rank-based protein category approach 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.
- Summary : Glioblastomas, one of the most common sort of malignant brain lumps, differ considerably, restricting the ability to analyze the organic aspects that drive whether glioblastomas will certainly react to treatment. However, data evaluation of the proteome– the whole collection of proteins that can be revealed by the growth– can 1 deal non-invasive approaches of classifying glioblastomas to aid educate therapy and 2 recognize protein biomarkers related to treatments to assess reaction to treatment. In this research, researchers established and examined an unique rank-based weighting method (“RadWise”) for protein features to help ML algorithms focus on the the most relevant variables that show post-therapy end results. RadWise provides a more efficient path to recognize the proteins and attributes that can be key targets for therapy of these hostile, fatal lumps.
Recognizing liver cancer cells subtypes most likely to reply to immunotherapy
- Publication : Cell Records 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 is an increasing source of cancer cells fatalities in the United States. This research checked out variation in individual results for a type of immunotherapy making use of immune checkpoint inhibitors. Researchers kept in mind that particular molecular subtypes of cancer cells, specified by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival prices with immune checkpoint prevention therapy. Determining these molecular subtypes can aid physicians determine whether a client’s distinct cancer is likely to react to this kind of treatment, implying they can use extra targeted use of immunotherapy and boost possibility of success.
Using algorithms to EHR data to presume maternity timing for even more exact mother’s health research
- Magazine : JAMIA, Women’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 indications that COVID- 19 can trigger maternity difficulties, and expectant persons appear to be at greater threat for a lot more serious COVID- 19 infection. Analysis of health and wellness document (EHR) information can help give more insight, however due to information disparities, it is typically challenging to determine 1 maternity beginning and end dates and 2 gestational age of the child at birth. To aid, scientists adapted an existing formula for figuring out gestational age and pregnancy length that relies on diagnostic codes and shipment dates. To enhance the precision of this formula, the researchers layered on their own data-driven formulas to precisely presume maternity beginning, maternity end, and site amount of time throughout a maternity’s progression while likewise resolving EHR information variance. This technique can be accurately used to make the fundamental inference of maternity timing and can be applied to future maternity and maternal study on subjects such as adverse pregnancy results and maternal mortality.
A novel technique for solving EHR information high quality problems for clinical 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.
- Summary : Scientific experience information can be a rich source for study, but it usually varies substantially across carriers, facilities, and organizations, making it difficult to uniformly examine. This variance is multiplied when multisite digital health and wellness document (EHR) information is networked with each other in a main data source. In this study, researchers developed an unique, generalizable method for settling clinical encounter data for evaluation by combining related encounters right into composite “macrovisits.” This method aids manipulate and settle EHR encounter information problems in a generalizable, repeatable method, allowing researchers to much more conveniently unlock the possibility of this abundant information for large-scale studies.
Improving openness in phenotyping for Long COVID study and past
- Publication : Journal of the American Medical Informatics Association
- 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 procedure of evaluating and categorizing an organism’s qualities, can help researchers much better understand the differences in between people and teams of individuals, and to recognize particular traits that may be linked to certain conditions or problems. Machine learning (ML) can assist obtain phenotypes from data, however these are testing to share and replicate as a result of their intricacy. Scientists in this research created and educated an ML-based phenotype to determine patients highly likely to have Long COVID, a progressively immediate public wellness factor to consider, and showed applicability of this approach for various other atmospheres. This is a success tale of how clear innovation and cooperation can make phenotyping formulas more accessible to a broad audience of scientists in informatics, decreasing copied work and supplying them with a device to get to understandings faster, consisting of for various other illness.
Browsing challenges for multisite real life information (RWD) databases
- Magazine : BMC Medical Study Method
- 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
- Recap : Collaborating with big range centralized EHR data sources such as N 3 C for study calls for specialized knowledge and careful analysis of information high quality and efficiency. This research takes a look at the procedure of analyzing information top quality to prepare for study, focusing on medicine efficiency studies. Scientist determined numerous methods and best practices to better define essential study components consisting of direct exposure to treatment, standard wellness comorbidities, and crucial end results of rate of interest. As big range, centralized real world databases become extra common, this is a practical advance in aiding scientists more effectively navigate their special information obstacles while unlocking critical applications for medication growth.
What’s Next for Wellness Study at Palantir
While 2023 saw important development, the new year brings with it new opportunities, as well as a seriousness to use the current technical improvements to the most important health and wellness issues facing people, areas, and the public at big. For instance, in 2023, the united state Government declared its commitment to combating systemic conditions such as cancer cells, and even launched a new health company, the Advanced Study Projects Firm for Health ( ARPA-H
Furthermore, in 2024, Palantir is honored to be a market partner in the innovative National AI Research 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 Executive Order on Expert System — Palantir will certainly be collaborating with its veteran partners at the National Institutes of Health And Wellness (NIH) and N 3 C to support research beforehand risk-free, protected, and reliable AI, as well as the application of AI to difficulties in health care.
In 2024, we’re thrilled to work with partners, brand-new and old, on problems of critical significance, applying our knowings on data, devices, and study to help allow purposeful improvements in health end results for all.
For more information regarding our continuing job throughout health and wellness and life scientific researches, browse through https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies