2023 in Testimonial
Wellness Research Study + Innovation: A Juncture
Palantir Shop has long contributed in accelerating the study findings of our wellness and life science companions, aiding attain extraordinary insights, simplify data access, improve information functionality, and facilitate innovative visualization and evaluation of data resources– all while securing the privacy and protection of the backing data
In 2023, Foundry sustained over 50 peer-reviewed magazines in renowned journals, covering a diverse variety of topics– from healthcare facility procedures, to oncological drugs, to finding out techniques. The year prior, our software program supported a document variety of peer-reviewed publications, which we highlighted in a previous article
Our partners’ foundational investments in technical framework during the peak of the COVID- 19 pandemic has made the remarkable amount of publications feasible.
Public and business healthcare companions have proactively scaled their financial investments in information sharing and research study software past COVID feedback to construct a much more detailed data structure for biomedical research. As an example, the N 3 C Enclave — which houses the data of 21 5 M patients from throughout practically 100 organizations– is being made use of day-to-day by countless scientists throughout firms and organizations. Provided the complexity of accessing, arranging, and taking advantage of ever-expanding biomedical information, the need for comparable research sources continues to increase.
In this post, we take a closer take a look at some notable magazines from 2023 and examine what lies ahead for software-backed research.
Arising Modern Technology and the Velocity of Scientific Study
The influence of new modern technologies on the clinical venture is increasing research-based outcomes at a formerly difficult range. Arising modern technologies and progressed software are assisting develop much more precise, organized, and available data properties, which consequently are allowing scientists to tackle progressively intricate scientific difficulties. Specifically, as a modular, interoperable, and versatile system, Factory has actually been utilized to sustain a varied variety of clinical studies with distinct research study features, consisting of AI-assisted therapeutics identification, real-world proof generation, and a lot more.
In 2023, the industry has also seen a rapid development in rate of interest around using Artificial Intelligence (AI)– and specifically, generative AI and large language designs (LLM)– in the health and life scientific research domains. Alongside various other core technological improvements (e.g., around data high quality and use), the potential for AI-enabled software program to accelerate clinical research study is more promising than ever. As a commercial leader in AI-enabled software application, Palantir has actually been at the forefront of searching for liable, safe and secure, and reliable methods to apply AI-enabled capacities to support our companions throughout sectors in achieving their essential objectives.
Over the past year, Palantir software application assisted drive crucial parts of our companions’ study and we stand all set to continue working together with our companions in federal government, market, and civil society to tackle the most important challenges in wellness and scientific research in advance. In the following section, we supply concrete instances of how the power of software application can assist advance clinical study, highlighting some key biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
In addition to a number of vital cancer cells and COVID therapy studies, Palantir Factory additionally allowed new searchings for in the more comprehensive field of study approach. Listed below, we highlight an example of some of the most impactful peer-reviewed articles published in 2023 that utilized Palantir Shop to help drive their research.
Determining new efficient medicine combinations for several myeloma
- Magazine : 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.
- Recap : Several myeloma (MM) is regularly immune to drug therapy, calling for continued exploration to recognize new, reliable healing combinations. In this research study, scientists used high-throughput medicine testing to recognize over 1900 compounds with activity versus a minimum of 25 of the 47 MM cell lines examined. From these 1900 substances, 3 61 million combinations were examined in silico, and pairs of substances with extremely associated task across the 47 cell lines and various systems of action were picked for additional evaluation. Specifically, 6 (6 medicine combinations worked at 1 decreasing over-expression of an essential healthy protein (MYC) that is usually linked to the manufacturing of malignant cells and 2 enhanced expression of the p 16 healthy protein, which can assist the body suppress tumor growth. Moreover, 3 (3 identified medication combinations increased possibilities of survival and lowered the development of cancer cells, partially by reducing task of paths associated with TGFβ/ SMAD signaling, which control the cell life cycle. These preclinical findings identify potentially valuable unique medication mixes for tough to deal with numerous myeloma.
New rank-based protein category approach to enhance glioblastoma therapy
- Publication : Cancers cells
- 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 usual kind of malignant mind lumps, vary substantially, limiting the capacity to analyze the biological elements that drive whether glioblastomas will react to therapy. Nevertheless, data evaluation of the proteome– the whole set of proteins that can be revealed by the tumor– can 1 offer non-invasive methods of classifying glioblastomas to help inform therapy and 2 determine protein biomarkers related to treatments to evaluate reaction to treatment. In this research, scientists created and evaluated a novel rank-based weighting technique (“RadWise”) for protein includes to aid ML formulas focus on the one of the most relevant aspects that show post-therapy end results. RadWise provides an extra reliable pathway to identify the proteins and features that can be vital targets for therapy of these aggressive, fatal tumors.
Determining liver cancer cells subtypes most likely to respond 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer is a climbing source of cancer cells deaths in the United States. This research checked out variation in patient outcomes for a sort of immunotherapy utilizing immune checkpoint inhibitors. Scientist kept in mind that specific molecular subtypes of cancer cells, defined by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were connected to greater survival prices with immune checkpoint prevention treatment. Determining these molecular subtypes can assist doctors recognize whether an individual’s one-of-a-kind cancer is likely to react to this type of intervention, meaning they can use more targeted use of immunotherapy and enhance chance of success.
Using formulas to EHR data to infer maternity timing for even more exact maternal health and wellness study
- Publication : JAMIA, Female’s Health 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.
- Recap : There are indicators that COVID- 19 can trigger maternity difficulties, and expectant individuals seem at higher danger for a lot more extreme COVID- 19 infection. Analysis of wellness document (EHR) information can help supply more understanding, but due to data disparities, it is often challenging to identify 1 maternity start and end days and 2 gestational age of the child at birth. To assist, researchers adapted an existing algorithm for determining gestational age and maternity length that counts on analysis codes and shipment dates. To enhance the precision of this formula, the researchers layered by themselves data-driven formulas to specifically presume maternity begin, maternity end, and landmark period throughout a pregnancy’s development while likewise resolving EHR data variance. This technique can be reliably used to make the foundational reasoning of maternity timing and can be put on future maternity and maternity study on subjects such as damaging maternity end results and mother’s mortality.
A novel approach for fixing EHR data high quality issues for clinical experiences
- 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 : Medical experience data can be a rich resource for research, yet it commonly varies considerably throughout carriers, centers, and organizations, making it hard to uniformly evaluate. This inconsistency is amplified when multisite digital health record (EHR) data is networked together in a main database. In this research, researchers developed an unique, generalizable method for solving scientific experience information for evaluation by incorporating relevant encounters right into composite “macrovisits.” This technique aids adjust and fix EHR experience data issues in a generalizable, repeatable way, permitting researchers to extra conveniently open the potential of this abundant information for large studies.
Improving openness in phenotyping for Long COVID research and beyond
- 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
- Summary : Phenotyping, the process of examining and categorizing a microorganism’s attributes, can help researchers better understand the differences in between people and groups of individuals, and to identify details characteristics that might be connected to certain diseases or problems. Machine learning (ML) can aid obtain phenotypes from information, yet these are testing to share and duplicate due to their intricacy. Researchers in this research study designed and educated an ML-based phenotype to recognize patients extremely likely to have Lengthy COVID, an increasingly urgent public health factor to consider, and revealed applicability of this technique for various other settings. This is a success tale of how transparent innovation and partnership can make phenotyping algorithms more available to a broad audience of researchers in informatics, minimizing duplicated work and supplying them with a tool to get to insights faster, consisting of for other conditions.
Navigating difficulties for multisite real life information (RWD) databases
- Magazine : BMC Medical Study Approach
- 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 : Working with huge range centralized EHR databases such as N 3 C for study needs specialized knowledge and mindful examination of data high quality and efficiency. This study examines the procedure of examining information quality to prepare for study, concentrating on medication effectiveness studies. Scientist determined a number of approaches and best techniques to better characterize crucial research study aspects consisting of exposure to therapy, standard wellness comorbidities, and key outcomes of rate of interest. As huge scale, systematized real world databases come to be much more widespread, this is a helpful step forward in helping researchers better navigate their special information challenges while opening crucial applications for medicine development.
What’s Following for Health And Wellness Research at Palantir
While 2023 saw vital progression, the new year brings with it new opportunities, in addition to a necessity to use the latest technological improvements to one of the most vital health issues facing individuals, neighborhoods, and the public at big. As an example, in 2023, the U.S. Government reaffirmed its dedication to combating systemic illness such as cancer, and even introduced a brand-new health and wellness firm, the Advanced Research Projects Firm for Health ( ARPA-H
In addition, in 2024, Palantir is pleased to be a sector companion in the cutting-edge National AI Study Resource (NAIRR) pilot program , created under the auspices of the National Science Foundation (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was directed by the Biden Administration’s Executive Order on Expert System — Palantir will be working with its long-time partners at the National Institutes of Health (NIH) and N 3 C to sustain study ahead of time secure, safe and secure, and reliable AI, along with the application of AI to obstacles in healthcare.
In 2024, we’re thrilled to collaborate with companions, new and old, on issues of essential significance, using our knowings on information, tools, and research study to help allow meaningful renovations in wellness outcomes for all.
To find out more concerning our continuing job throughout wellness and life scientific researches, see https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies