2023 in Evaluation
Health And Wellness Research + Technology: A Transition
Palantir Shop has long been instrumental in accelerating the study searchings for of our health and wellness and life scientific research companions, assisting accomplish unmatched insights, enhance data accessibility, enhance data use, and assist in advanced visualization and evaluation of data sources– all while securing the privacy and security of the backing information
In 2023, Foundry supported over 50 peer-reviewed publications in renowned journals, covering a diverse variety of subjects– from hospital procedures, to oncological medications, to discovering modalities. The year prior, our software program supported a document number of peer-reviewed publications, which we highlighted in a prior post
Our partners’ foundational investments in technological facilities throughout the peak of the COVID- 19 pandemic has made the excellent amount of publications possible.
Public and industrial health care partners have proactively scaled their investments in information sharing and research study software program past COVID action to develop an extra comprehensive data structure for biomedical research study. For instance, the N 3 C Enclave — which houses the data of 21 5 M patients from throughout practically 100 institutions– is being utilized everyday by hundreds of scientists across companies and organizations. Given the intricacy of accessing, arranging, and utilizing ever-expanding biomedical information, the demand for comparable research study resources continues to increase.
In this article, we take a closer check out some noteworthy magazines from 2023 and analyze what exists in advance for software-backed research.
Emerging Innovation and the Velocity of Scientific Study
The effect of brand-new modern technologies on the clinical enterprise is speeding up research-based results at a previously difficult scale. Emerging technologies and advanced software program are helping develop a lot more precise, organized, and accessible information assets, which consequently are enabling scientists to deal with increasingly complicated scientific challenges. Particularly, as a modular, interoperable, and flexible system, Shop has actually been utilized to sustain a varied range of scientific research studies with unique research features, consisting of AI-assisted therapeutics identification, real-world proof generation, and much more.
In 2023, the sector has likewise seen an exponential development in rate of interest around making use of Expert system (AI)– and specifically, generative AI and big language versions (LLM)– in the health and wellness and life scientific research domain names. Along with various other core technical advancements (e.g., around data quality and use), the capacity for AI-enabled software program to speed up clinical study is a lot more appealing than ever before. As a business leader in AI-enabled software, Palantir has been at the forefront of finding accountable, protected, and effective ways to use AI-enabled capacities to sustain our partners across industries in attaining their crucial goals.
Over the past year, Palantir software program aided drive essential parts of our partners’ research study and we stand ready to proceed collaborating with our companions in government, sector, and civil culture to take on one of the most important challenges in health and science in advance. In the next area, we supply concrete examples of just how the power of software program can assist advance scientific research, highlighting some essential biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
In addition to a variety of vital cancer and COVID therapy studies, Palantir Shop additionally made it possible for brand-new findings in the wider field of research study approach. Below, we highlight an example of some of one of the most impactful peer-reviewed write-ups published in 2023 that made use of Palantir Foundry to aid drive their research study.
Recognizing new efficient medicine combinations for numerous myeloma
- Magazine : Cancer Letters
- Writers : 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 frequently resistant to drug therapy, calling for continued expedition to determine brand-new, effective restorative combinations. In this research study, researchers made use of high-throughput medication screening to recognize over 1900 substances with task against at least 25 of the 47 MM cell lines examined. From these 1900 compounds, 3 61 million combinations were evaluated in silico, and sets of substances with very associated task across the 47 cell lines and various devices of activity were chosen for further evaluation. Particularly, six (6 medicine combinations were effective at 1 reducing over-expression of a vital healthy protein (MYC) that is frequently connected to the manufacturing of deadly cells and 2 raised expression of the p 16 healthy protein, which can help the body suppress lump development. Additionally, 3 (3 identified medication combinations increased chances of survival and lowered the development of cancer cells, partly by minimizing task of paths associated with TGFβ/ SMAD signaling, which manage the cell life process. These preclinical searchings for recognize potentially beneficial novel medicine combinations for hard to deal with numerous myeloma.
New rank-based protein classification technique to boost 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 typical kind of malignant brain lumps, vary substantially, restricting the capacity to analyze the organic elements that drive whether glioblastomas will certainly reply to treatment. However, information evaluation of the proteome– the entire set of proteins that can be shared by the tumor– can 1 deal non-invasive techniques of classifying glioblastomas to help educate treatment and 2 recognize healthy protein biomarkers associated with treatments to examine action to therapy. In this study, researchers developed and evaluated an unique rank-based weighting technique (“RadWise”) for healthy protein includes to assist ML algorithms concentrate on the one of the most pertinent aspects that suggest post-therapy end results. RadWise offers an extra reliable path to recognize the healthy proteins and attributes that can be crucial targets for therapy of these aggressive, deadly growths.
Recognizing liver cancer subtypes likely to reply to immunotherapy
- Publication : Cell Records 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer is a rising reason for cancer deaths in the US. This research investigated variation in client end results for a sort of immunotherapy using immune checkpoint inhibitors. Scientist noted that specific molecular subtypes of cancer cells, defined by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention therapy. Identifying these molecular subtypes can aid doctors recognize whether a client’s one-of-a-kind cancer is most likely to react to this kind of intervention, meaning they can use more targeted use immunotherapy and enhance chance of success.
Using formulas to EHR information to infer maternity timing for even more precise mother’s wellness research study
- Publication : JAMIA, Female’s Health 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., Hillside, E.L.
- Recap : There are indicators that COVID- 19 can trigger pregnancy difficulties, and expecting persons appear to be at higher risk for more serious COVID- 19 infection. Evaluation of health and wellness document (EHR) data can help give even more understanding, but because of data disparities, it is commonly difficult to determine 1 pregnancy begin and end dates and 2 gestational age of the child at birth. To assist, scientists adapted an existing formula for determining gestational age and pregnancy size that counts on diagnostic codes and delivery days. To increase the accuracy of this formula, the researchers layered by themselves data-driven algorithms to specifically infer pregnancy begin, pregnancy end, and landmark time frames throughout a maternity’s progression while additionally addressing EHR information disparity. This approach can be dependably used to make the fundamental reasoning of maternity timing and can be put on future pregnancy and pregnancy research study on topics such as unfavorable pregnancy outcomes and maternal mortality.
A novel approach for dealing with EHR information quality problems for clinical 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 : Clinical encounter information can be an abundant resource for research study, however it usually varies considerably throughout providers, facilities, and establishments, making it difficult to consistently assess. This variance is magnified when multisite digital wellness record (EHR) information is networked together in a main database. In this research, scientists developed a novel, generalizable approach for dealing with scientific experience data for evaluation by integrating related experiences right into composite “macrovisits.” This technique helps manipulate and fix EHR experience information concerns in a generalizable, repeatable method, allowing scientists to extra quickly unlock the potential of this abundant information for large-scale researches.
Improving transparency in phenotyping for Long COVID study and beyond
- Publication : Journal of the American Medical Informatics Organization
- 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 reviewing and categorizing an organism’s features, can assist scientists much better comprehend the differences in between individuals and groups of individuals, and to recognize certain traits that might be connected to certain illness or conditions. Machine learning (ML) can assist derive phenotypes from information, yet these are challenging to share and duplicate as a result of their complexity. Researchers in this study created and educated an ML-based phenotype to determine clients highly possible to have Lengthy COVID, a significantly urgent public wellness consideration, and showed applicability of this method for other settings. This is a success story of just how transparent innovation and cooperation can make phenotyping formulas much more available to a broad target market of scientists in informatics, decreasing copied job and providing them with a tool to reach insights much faster, consisting of for various other conditions.
Navigating challenges for multisite real world information (RWD) data sources
- Publication : BMC Medical Research 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 : Dealing with big range systematized EHR databases such as N 3 C for research study calls for specialized knowledge and cautious examination of data high quality and completeness. This research examines the procedure of examining information high quality to prepare for study, focusing on drug effectiveness studies. Scientist recognized several methods and ideal methods to much better identify important research elements consisting of direct exposure to therapy, standard health and wellness comorbidities, and crucial outcomes of passion. As large scale, centralized real life data sources become more prevalent, this is a useful progression in assisting scientists more effectively navigate their distinct data challenges while opening important applications for medicine advancement.
What’s Next for Health Research Study at Palantir
While 2023 saw crucial development, the brand-new year brings with it new opportunities, along with a seriousness to apply the current technological innovations to the most essential wellness problems dealing with people, neighborhoods, and the public at big. For instance, in 2023, the U.S. Government reaffirmed its dedication to combating systemic illness such as cancer, and also launched a new health and wellness firm, the Advanced Research Study Projects Company for Wellness ( ARPA-H
Moreover, in 2024, Palantir is happy to be a market companion in the innovative 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 routed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will certainly be dealing with its long-time companions at the National Institutes of Health And Wellness (NIH) and N 3 C to support research study in advancing risk-free, safe and secure, and reliable AI, as well as the application of AI to difficulties in health care.
In 2024, we’re excited to work with partners, brand-new and old, on problems of essential relevance, using our learnings on information, tools, and research to aid allow meaningful enhancements in health outcomes for all.
To read more regarding our continuing work across wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies