2023 in Testimonial
Health And Wellness Research Study + Modern Technology: A Juncture
Palantir Foundry has long been instrumental in accelerating the research study searchings for of our wellness and life science companions, aiding achieve extraordinary understandings, streamline information accessibility, boost data use, and promote sophisticated visualization and evaluation of information sources– all while safeguarding the privacy and safety and security of the backing information
In 2023, Foundry supported over 50 peer-reviewed publications in esteemed journals, covering a diverse number of subjects– from hospital procedures, to oncological drugs, to learning techniques. The year prior, our software program supported a document variety of peer-reviewed magazines, which we highlighted in a prior blog post
Our partners’ foundational investments in technological facilities during the top of the COVID- 19 pandemic has made the remarkable quantity of publications feasible.
Public and commercial health care partners have proactively scaled their investments in data sharing and research study software program beyond COVID action to develop a much more extensive information structure for biomedical study. For example, the N 3 C Enclave — which houses the information of 21 5 M individuals from throughout virtually 100 organizations– is being utilized day-to-day by thousands of researchers throughout companies and companies. Offered the complexity of accessing, arranging, and harnessing ever-expanding biomedical data, the demand for comparable research resources remains to rise.
In this post, we take a closer look at some notable magazines from 2023 and analyze what lies ahead for software-backed study.
Emerging Innovation and the Acceleration of Scientific Research Study
The influence of new modern technologies on the scientific enterprise is accelerating research-based outputs at a formerly impossible range. Emerging innovations and advanced software are helping develop much more precise, organized, and obtainable information possessions, which consequently are permitting scientists to deal with progressively complicated scientific difficulties. Specifically, as a modular, interoperable, and versatile platform, Shop has been made use of to sustain a diverse variety of clinical research studies with one-of-a-kind research features, including AI-assisted rehabs identification, real-world proof generation, and more.
In 2023, the sector has actually additionally seen a rapid development in interest around utilizing Artificial Intelligence (AI)– and specifically, generative AI and large language versions (LLM)– in the wellness and life science domain names. Along with various other core technological developments (e.g., around information top quality and use), the potential for AI-enabled software to speed up scientific study is extra encouraging than ever. As a business leader in AI-enabled software application, Palantir has actually been at the center of searching for responsible, safe, and effective means to apply AI-enabled capacities to support our partners throughout industries in accomplishing their essential missions.
Over the previous year, Palantir software program assisted drive key parts of our partners’ research and we stand all set to continue interacting with our partners in government, market, and civil culture to tackle one of the most important challenges in health and wellness and scientific research ahead. In the following area, we provide concrete instances of just how the power of software can assist breakthrough scientific research study, highlighting some crucial biomedical magazines powered by Foundry in 2023
2023 Publications Powered by Palantir Factory
Along with a number of crucial cancer and COVID therapy researches, Palantir Shop also enabled new findings in the wider area of study technique. Below, we highlight a sample of a few of one of the most impactful peer-reviewed articles published in 2023 that used Palantir Shop to aid drive their study.
Recognizing new effective drug mixes for several myeloma
- Magazine : 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.
- Summary : Numerous myeloma (MM) is regularly immune to medication therapy, needing continued expedition to determine brand-new, effective therapeutic combinations. In this research, researchers made use of high-throughput medication screening to identify over 1900 compounds with task against at the very least 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million combinations were examined in silico, and sets of substances with very associated task across the 47 cell lines and different mechanisms of activity were chosen for additional evaluation. Specifically, 6 (6 drug mixes worked at 1 lowering over-expression of an essential protein (MYC) that is often linked to the production of malignant cells and 2 increased expression of the p 16 healthy protein, which can aid the body subdue tumor development. Furthermore, 3 (3 recognized drug combinations raised opportunities of survival and reduced the development of cancer cells, in part by reducing activity of paths associated with TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings identify potentially valuable unique medication mixes for hard to treat numerous myeloma.
New rank-based healthy protein category approach 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.
- Recap : Glioblastomas, one of the most typical kind of malignant mind tumors, vary greatly, limiting the ability to examine the organic factors that drive whether glioblastomas will certainly respond to therapy. Nevertheless, data evaluation of the proteome– the whole collection of healthy proteins that can be expressed by the growth– can 1 offer non-invasive approaches of categorizing glioblastomas to aid notify treatment and 2 determine healthy protein biomarkers related to treatments to assess reaction to treatment. In this study, researchers developed and evaluated an unique rank-based weighting method (“RadWise”) for healthy protein features to help ML formulas concentrate on the one of the most relevant variables that indicate post-therapy end results. RadWise uses a more reliable path to determine the healthy proteins and functions that can be vital targets for therapy of these aggressive, fatal growths.
Recognizing liver cancer subtypes most likely to respond to immunotherapy
- Publication : Cell Reports 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer cells is an increasing root cause of cancer fatalities in the United States. This research study investigated variant in individual results for a type of immunotherapy using immune checkpoint preventions. Researchers noted that certain 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 inhibitor therapy. Recognizing these molecular subtypes can aid doctors identify whether a client’s one-of-a-kind cancer is most likely to reply to this kind of treatment, indicating they can use more targeted use immunotherapy and improve chance of success.
Using algorithms to EHR data to presume maternity timing for even more precise maternal health research
- Publication : JAMIA, Women’s 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 create pregnancy issues, and pregnant individuals appear to be at higher threat for more extreme COVID- 19 infection. Analysis of wellness record (EHR) data can help offer more insight, but as a result of data inconsistencies, it is often challenging to ascertain 1 pregnancy begin and end dates and 2 gestational age of the baby at birth. To aid, scientists adjusted an existing algorithm for identifying gestational age and maternity size that relies on analysis codes and shipment dates. To boost the precision of this algorithm, the scientists layered by themselves data-driven formulas to exactly infer maternity begin, maternity end, and site timespan throughout a pregnancy’s development while likewise addressing EHR data incongruity. This technique can be accurately utilized to make the fundamental reasoning of maternity timing and can be put on future maternity and pregnancy study on topics such as damaging pregnancy results and maternal mortality.
A novel technique for solving EHR information quality problems for medical 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.
- Recap : Professional encounter data can be an abundant source for study, but it often differs greatly throughout providers, facilities, and institutions, making it tough to consistently analyze. This variance is amplified when multisite digital health record (EHR) data is networked with each other in a main database. In this research, scientists developed an unique, generalizable approach for dealing with clinical encounter information for evaluation by integrating related encounters into composite “macrovisits.” This method assists control and fix EHR encounter data issues in a generalizable, repeatable way, permitting researchers to extra easily unlock the capacity of this abundant information for large-scale researches.
Improving transparency in phenotyping for Long COVID research study and past
- Magazine : 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 Recoup Consortia
- Summary : Phenotyping, the procedure of assessing and categorizing an organism’s features, can help researchers better recognize the differences in between people and groups of individuals, and to recognize certain qualities that might be linked to certain conditions or problems. Artificial intelligence (ML) can aid derive phenotypes from information, however these are testing to share and reproduce due to their intricacy. Scientists in this research developed and trained an ML-based phenotype to recognize patients very probable to have Lengthy COVID, a progressively urgent public health consideration, and showed applicability of this approach for various other atmospheres. This is a success tale of just how clear innovation and partnership can make phenotyping algorithms a lot more accessible to a broad target market of scientists in informatics, decreasing duplicated job and giving them with a device to get to insights faster, consisting of for various other illness.
Browsing challenges for multisite real life data (RWD) databases
- Magazine : BMC Medical Study Technique
- 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 : Collaborating with huge range systematized EHR data sources such as N 3 C for research requires specialized understanding and careful analysis of information top quality and efficiency. This study examines the process of examining information top quality in preparation for research study, concentrating on medicine effectiveness researches. Scientist identified several techniques and finest methods to much better characterize important study aspects including direct exposure to therapy, standard health comorbidities, and key outcomes of interest. As big range, systematized real world data sources become a lot more prevalent, this is a helpful advance in aiding researchers more effectively navigate their one-of-a-kind information obstacles while opening essential applications for medicine growth.
What’s Next for Health And Wellness Research at Palantir
While 2023 saw vital progression, the new year brings with it brand-new possibilities, in addition to a seriousness to use the current technical advancements to one of the most essential wellness issues dealing with individuals, neighborhoods, and the general public at big. For example, in 2023, the united state Government declared its dedication to combating systemic illness such as cancer, and also introduced a brand-new health company, the Advanced Research Projects Firm for Health ( ARPA-H
Additionally, in 2024, Palantir is happy to be an industry companion in the innovative National AI Research Source (NAIRR) pilot program , developed under the auspices of the National Science Foundation (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was directed by the Biden Administration’s Executive Order on Artificial Intelligence — Palantir will certainly be working with its long-time partners at the National Institutes of Wellness (NIH) and N 3 C to support research in advancing secure, safe and secure, and trustworthy AI, along with the application of AI to challenges in healthcare.
In 2024, we’re excited to work with companions, new and old, on problems of crucial relevance, using our discoverings on data, devices, and research study to help make it possible for purposeful improvements in wellness outcomes for all.
To find out more about our continuing work across health and life scientific researches, check out https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies