2023 in Testimonial
Wellness Research Study + Technology: A Turning Point
Palantir Foundry has actually long been instrumental in increasing the research searchings for of our health and wellness and life science partners, aiding accomplish extraordinary insights, enhance data gain access to, improve data functionality, and promote sophisticated visualization and evaluation of data sources– all while safeguarding the personal privacy and security of the support data
In 2023, Factory supported over 50 peer-reviewed magazines in renowned journals, covering a varied variety of topics– from hospital procedures, to oncological medications, to learning modalities. The year prior, our software application supported a record number of peer-reviewed publications, which we highlighted in a prior blog post
Our partners’ foundational financial investments in technological infrastructure throughout the top of the COVID- 19 pandemic has actually made the excellent quantity of publications feasible.
Public and business health care partners have actually proactively scaled their financial investments in data sharing and research study software application beyond COVID action to develop a much more comprehensive information foundation for biomedical research study. As an example, the N 3 C Enclave — which houses the information of 21 5 M individuals from across almost 100 organizations– is being made use of day-to-day by hundreds of scientists throughout firms and companies. Given the intricacy of accessing, arranging, and using ever-expanding biomedical data, the demand for comparable research study resources continues to increase.
In this blog post, we take a closer check out some significant magazines from 2023 and analyze what exists in advance for software-backed research study.
Emerging Modern Technology and the Velocity of Scientific Research Study
The impact of brand-new technologies on the scientific business is increasing research-based results at a previously impossible scale. Emerging innovations and progressed software are assisting produce more specific, organized, and easily accessible data possessions, which consequently are enabling scientists to take on significantly complicated scientific difficulties. Specifically, as a modular, interoperable, and adaptable system, Shop has been made use of to support a varied series of clinical research studies with distinct research features, consisting of AI-assisted therapeutics recognition, real-world proof generation, and a lot more.
In 2023, the industry has additionally seen a rapid growth in interest around using Expert system (AI)– and in particular, generative AI and huge language designs (LLM)– in the wellness and life science domain names. Along with various other core technical innovations (e.g., around data quality and use), the capacity for AI-enabled software program to increase scientific research is a lot more appealing than ever before. As a commercial leader in AI-enabled software application, Palantir has actually been at the center of searching for accountable, safe, and effective methods to apply AI-enabled abilities to sustain our partners across industries in attaining their essential objectives.
Over the previous year, Palantir software program assisted drive essential elements of our partners’ study and we stand prepared to continue interacting with our companions in federal government, industry, and civil society to deal with the most important challenges in health and science ahead. In the next area, we supply concrete instances of exactly how the power of software application can assist breakthrough scientific study, highlighting some crucial biomedical magazines powered by Foundry in 2023
2023 Publications Powered by Palantir Shop
In addition to a number of essential cancer and COVID treatment researches, Palantir Foundry also enabled brand-new searchings for in the broader area of research approach. Below, we highlight an example of several of one of the most impactful peer-reviewed short articles published in 2023 that utilized Palantir Shop to help drive their study.
Recognizing new effective medicine combinations 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 often resistant to medication treatment, needing ongoing expedition to determine new, reliable therapeutic mixes. In this research study, scientists made use of high-throughput medication screening to determine over 1900 substances with activity against a minimum of 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million combinations were assessed in silico, and pairs of compounds with highly associated activity throughout the 47 cell lines and different mechanisms of activity were selected for more analysis. Especially, six (6 medication combinations were effective at 1 reducing over-expression of a key healthy protein (MYC) that is often connected to the manufacturing of deadly cells and 2 increased expression of the p 16 protein, which can help the body suppress tumor growth. Additionally, 3 (3 identified medication mixes boosted opportunities of survival and lowered the growth of cancer cells, in part by minimizing task of pathways associated with TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical findings recognize possibly beneficial novel medicine combinations for tough to treat numerous myeloma.
New rank-based healthy protein classification technique to boost glioblastoma treatment
- Magazine : Cancers
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most usual sort of cancerous brain tumors, vary substantially, limiting the capability to analyze the biological elements that drive whether glioblastomas will respond to treatment. However, information analysis of the proteome– the whole collection of proteins that can be shared by the lump– can 1 offer non-invasive methods of identifying glioblastomas to aid notify therapy and 2 identify protein biomarkers associated with treatments to assess reaction to therapy. In this research, researchers established and tested a novel rank-based weighting approach (“RadWise”) for healthy protein features to aid ML formulas concentrate on the one of the most pertinent elements that indicate post-therapy end results. RadWise provides an extra effective path to recognize the healthy proteins and features that can be key targets for treatment of these hostile, deadly growths.
Determining liver cancer subtypes most likely to react to immunotherapy
- Publication : Cell Records Medication
- 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.
- Summary : Liver cancer cells is a rising source of cancer cells deaths in the United States. This research study examined variant in client end results for a kind of immunotherapy utilizing immune checkpoint preventions. Researchers kept in mind that certain molecular subtypes of cancer, defined by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were linked to higher survival prices with immune checkpoint inhibitor therapy. Recognizing these molecular subtypes can help doctors recognize whether a person’s one-of-a-kind cancer cells is most likely to react to this sort of treatment, suggesting they can use much more targeted use of immunotherapy and enhance probability of success.
Applying algorithms to EHR data to presume pregnancy timing for more accurate maternal health study
- Magazine : JAMIA, Women’s Health Special Edition
- 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.
- Recap : There are signs that COVID- 19 can trigger maternity complications, and pregnant persons seem at higher danger for a lot more serious COVID- 19 infection. Analysis of health and wellness record (EHR) information can assist offer even more understanding, however as a result of information incongruities, it is commonly difficult to ascertain 1 pregnancy start and end days and 2 gestational age of the baby at birth. To assist, researchers adapted an existing algorithm for determining gestational age and maternity length that counts on diagnostic codes and delivery days. To increase the precision of this formula, the researchers layered on their own data-driven algorithms to exactly infer maternity start, maternity end, and landmark timespan throughout a maternity’s progression while likewise addressing EHR data variance. This method can be accurately made use of to make the fundamental inference of pregnancy timing and can be applied to future pregnancy and pregnancy research study on subjects such as unfavorable pregnancy outcomes and maternal mortality.
A novel approach for resolving EHR data top quality problems for clinical encounters
- 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.
- Summary : Professional experience information can be a rich resource for research, yet it typically differs significantly throughout carriers, centers, and establishments, making it challenging to consistently analyze. This disparity is amplified when multisite digital wellness record (EHR) information is networked with each other in a central database. In this study, scientists developed an unique, generalizable approach for dealing with medical experience information for analysis by combining related encounters into composite “macrovisits.” This technique helps manipulate and deal with EHR encounter information concerns in a generalizable, repeatable means, permitting scientists to more conveniently unlock the possibility of this rich data for large-scale studies.
Improving openness in phenotyping for Long COVID research study and past
- Magazine : 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 Recoup Consortia
- Recap : Phenotyping, the procedure of evaluating and classifying a microorganism’s qualities, can assist researchers much better recognize the differences between people and groups of individuals, and to determine particular traits that may be connected to certain diseases or conditions. Machine learning (ML) can assist derive phenotypes from data, but these are challenging to share and reproduce because of their complexity. Scientists in this research developed and trained an ML-based phenotype to recognize people highly likely to have Lengthy COVID, a progressively immediate public health factor to consider, and showed applicability of this method for various other atmospheres. This is a success tale of exactly how clear technology and cooperation can make phenotyping formulas a lot more available to a broad audience of researchers in informatics, lowering duplicated job and offering them with a device to get to insights quicker, including for other diseases.
Navigating obstacles for multisite real world data (RWD) data sources
- Publication : BMC Medical Research Study Methodology
- Authors : 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 : Dealing with huge scale systematized EHR databases such as N 3 C for study requires specialized knowledge and mindful evaluation of information top quality and efficiency. This study checks out the process of assessing data top quality to prepare for research, concentrating on medicine efficacy researches. Scientist identified numerous techniques and best methods to better define important study aspects including exposure to therapy, standard wellness comorbidities, and crucial results of passion. As big scale, centralized real life data sources end up being extra widespread, this is a useful advance in helping researchers better browse their one-of-a-kind data difficulties while opening essential applications for medication development.
What’s Following for Health And Wellness Research at Palantir
While 2023 saw crucial development, the new year brings with it brand-new possibilities, in addition to an urgency to use the current technological innovations to the most crucial health concerns facing individuals, communities, and the public at big. For example, in 2023, the united state Government reaffirmed its commitment to combating systemic diseases such as cancer, and also launched a new wellness company, the Advanced Research Study Projects Company for Wellness ( ARPA-H
Additionally, in 2024, Palantir is proud to be a market partner in the ingenious National AI Research Study Source (NAIRR) pilot program , created under the auspices of the National Science Structure (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was routed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will be dealing with its veteran companions at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain research study in advancing risk-free, secure, and trustworthy AI, as well as the application of AI to obstacles in healthcare.
In 2024, we’re excited to work with partners, brand-new and old, on problems of crucial value, using our understandings on data, devices, and research to help make it possible for purposeful improvements in wellness results for all.
To find out more concerning our proceeding job across health and wellness and life scientific researches, go to https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies