2023 in Testimonial
Health And Wellness Research + Technology: A Turning Point
Palantir Factory has long contributed in accelerating the research findings of our wellness and life scientific research partners, helping accomplish unmatched insights, improve information accessibility, improve data use, and promote innovative visualization and evaluation of information sources– all while shielding the privacy and protection of the backing data
In 2023, Foundry sustained over 50 peer-reviewed publications in renowned journals, covering a diverse variety of topics– from hospital operations, to oncological medicines, to finding out methods. The year prior, our software application supported a document variety of peer-reviewed publications, which we highlighted in a prior post
Our companions’ fundamental investments in technological framework throughout the optimal of the COVID- 19 pandemic has actually made the outstanding quantity of magazines possible.
Public and business healthcare partners have proactively scaled their financial investments in data sharing and research study software beyond COVID action to develop an extra thorough data foundation for biomedical study. As an example, the N 3 C Enclave — which houses the data of 21 5 M patients from across virtually 100 organizations– is being utilized daily by hundreds of researchers throughout agencies and organizations. Given the intricacy of accessing, arranging, and harnessing ever-expanding biomedical information, the need for comparable research sources remains to climb.
In this blog post, we take a closer check out some notable magazines from 2023 and examine what lies ahead for software-backed research study.
Emerging Technology and the Acceleration of Scientific Research Study
The effect of brand-new modern technologies on the clinical venture is accelerating research-based results at a formerly impossible range. Emerging innovations and progressed software application are helping create much more accurate, arranged, and accessible data assets, which in turn are permitting researchers to take on progressively complex clinical challenges. In particular, as a modular, interoperable, and adaptable platform, Shop has been utilized to support a diverse range of clinical researches with special research study functions, including AI-assisted therapeutics identification, real-world evidence generation, and extra.
In 2023, the industry has actually likewise seen an exponential development in rate of interest around making use of Artificial Intelligence (AI)– and specifically, generative AI and huge language models (LLM)– in the health and wellness and life scientific research domains. Along with various other core technical innovations (e.g., around data high quality and functionality), the potential for AI-enabled software to increase clinical research is more encouraging than ever. As a business leader in AI-enabled software program, Palantir has gone to the center of searching for responsible, safe and secure, and efficient methods to apply AI-enabled abilities to support our partners across markets in accomplishing their most important goals.
Over the previous year, Palantir software application assisted drive crucial parts of our partners’ research and we stand prepared to proceed interacting with our companions in government, industry, and civil culture to deal with one of the most important challenges in health and wellness and scientific research ahead. In the following area, we offer concrete examples of just how the power of software program can assist breakthrough scientific research study, highlighting some vital biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of essential cancer cells and COVID treatment researches, Palantir Foundry also allowed brand-new findings in the more comprehensive field of study methodology. Listed below, we highlight an example of a few of one of the most impactful peer-reviewed short articles published in 2023 that utilized Palantir Factory to help drive their research study.
Recognizing new reliable medication 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 : Numerous myeloma (MM) is often immune to medication therapy, requiring continued exploration to identify brand-new, efficient healing combinations. In this study, researchers utilized high-throughput medicine screening to determine over 1900 substances with activity against a minimum of 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million combinations were evaluated in silico, and sets of substances with extremely correlated activity across the 47 cell lines and different systems of activity were picked for additional analysis. Specifically, 6 (6 medicine combinations worked at 1 decreasing over-expression of a vital protein (MYC) that is typically connected to the production of deadly cells and 2 increased expression of the p 16 protein, which can assist the body suppress lump development. Furthermore, three (3 recognized medicine mixes enhanced possibilities of survival and decreased the growth of cancer cells, partially by decreasing task of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life process. These preclinical findings identify potentially valuable novel medication combinations for tough to deal with several myeloma.
New rank-based protein classification technique to boost glioblastoma treatment
- Magazine : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, the most typical type of cancerous brain lumps, vary significantly, restricting the capacity to examine the organic elements that drive whether glioblastomas will reply to therapy. However, data evaluation of the proteome– the entire collection of healthy proteins that can be expressed by the lump– can 1 offer non-invasive approaches of identifying glioblastomas to help educate therapy and 2 recognize healthy protein biomarkers related to treatments to review response to therapy. In this research study, scientists established and evaluated an unique rank-based weighting method (“RadWise”) for protein includes to assist ML algorithms focus on the the most appropriate aspects that suggest post-therapy outcomes. RadWise uses an extra effective path to identify the proteins and features that can be vital targets for therapy of these aggressive, fatal growths.
Recognizing liver cancer cells subtypes likely to reply to immunotherapy
- Magazine : Cell Reports 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 cells is an increasing reason for cancer cells deaths in the United States. This research study investigated variation in individual outcomes for a type of immunotherapy utilizing immune checkpoint inhibitors. Scientist kept in mind that certain molecular subtypes of cancer cells, defined by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to greater survival rates with immune checkpoint prevention treatment. Determining these molecular subtypes can assist doctors determine whether an individual’s distinct cancer cells is most likely to reply to this kind of treatment, meaning they can use more targeted use immunotherapy and improve chance of success.
Using algorithms to EHR data to infer maternity timing for even more accurate mother’s health and wellness study
- Magazine : JAMIA, Women’s Health and wellness 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 create maternity problems, and expecting individuals appear to be at greater risk for much more severe COVID- 19 infection. Evaluation of health and wellness record (EHR) information can aid supply more insight, however as a result of data variances, it is typically difficult to determine 1 maternity begin and end days and 2 gestational age of the baby at birth. To assist, scientists adapted an existing formula for establishing gestational age and pregnancy length that relies upon diagnostic codes and shipment days. To enhance the accuracy of this formula, the researchers layered on their own data-driven formulas to precisely infer maternity beginning, pregnancy end, and landmark amount of time throughout a pregnancy’s progression while additionally resolving EHR information inconsistency. This technique can be reliably used to make the fundamental inference of pregnancy timing and can be put on future maternity and maternal research study on topics such as unfavorable maternity outcomes and maternal mortality.
A novel method for fixing EHR data quality concerns for medical experiences
- Publication : 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 : Scientific encounter data can be an abundant resource for study, yet it often varies significantly across suppliers, facilities, and organizations, making it tough to consistently assess. This disparity is multiplied when multisite digital health record (EHR) data is networked together in a main database. In this research study, researchers created an unique, generalizable technique for settling professional encounter data for analysis by integrating related experiences right into composite “macrovisits.” This methodology aids adjust and settle EHR encounter information concerns in a generalizable, repeatable method, allowing researchers to extra quickly unlock the possibility of this rich data for large research studies.
Improving transparency in phenotyping for Long COVID study and beyond
- Publication : Journal of the American Medical Informatics Association
- 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 Recoup Consortia
- Summary : Phenotyping, the procedure of assessing and classifying an organism’s attributes, can aid researchers better recognize the distinctions in between individuals and teams of people, and to recognize details qualities that might be linked to particular conditions or conditions. Artificial intelligence (ML) can help obtain phenotypes from data, however these are testing to share and duplicate as a result of their complexity. Researchers in this research developed and trained an ML-based phenotype to identify people very potential to have Long COVID, a progressively immediate public health consideration, and revealed applicability of this technique for other environments. This is a success tale of how transparent innovation and partnership can make phenotyping algorithms much more obtainable to a broad target market of scientists in informatics, minimizing copied work and supplying them with a device to reach insights faster, consisting of for various other diseases.
Navigating challenges for multisite real life information (RWD) data sources
- Publication : BMC Medical Research Study Approach
- Authors : 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 huge range centralized EHR data sources such as N 3 C for research requires specialized knowledge and cautious assessment of data high quality and completeness. This research study examines the process of evaluating data high quality to prepare for study, focusing on medicine efficacy researches. Researchers determined numerous techniques and finest methods to much better characterize important research study elements including direct exposure to therapy, baseline health comorbidities, and key end results of passion. As large range, streamlined real life databases end up being extra widespread, this is a practical advance in aiding researchers better navigate their one-of-a-kind data challenges while opening important applications for medication development.
What’s Next for Wellness Study at Palantir
While 2023 saw important development, the new year brings with it brand-new possibilities, along with an urgency to use the latest technical developments to the most important health concerns encountering individuals, communities, and the general public at huge. For example, in 2023, the U.S. Federal government declared its commitment to combating systemic illness such as cancer cells, and even released a brand-new health and wellness agency, the Advanced Research Study Projects Firm for Health ( ARPA-H
Additionally, in 2024, Palantir is happy to be a sector companion in the ingenious National AI Research Resource (NAIRR) pilot program , developed under the auspices of the National Science Structure (NSF) and with financing 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 be dealing with its veteran partners at the National Institutes of Health (NIH) and N 3 C to sustain research study beforehand risk-free, protected, and credible AI, as well as the application of AI to challenges in medical care.
In 2024, we’re thrilled to collaborate with partners, new and old, on issues of essential value, using our discoverings on data, tools, and study to help enable meaningful enhancements in health results for all.
To learn more about our continuing job throughout health and wellness and life sciences, see https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies