2023 in Review
Wellness Research Study + Technology: A Turning Point
Palantir Factory has actually long contributed in accelerating the study searchings for of our wellness and life scientific research companions, assisting accomplish unmatched insights, enhance data accessibility, enhance data use, and facilitate innovative visualization and evaluation of information resources– all while safeguarding the personal privacy and security of the backing information
In 2023, Factory supported over 50 peer-reviewed magazines in well-regarded journals, covering a diverse number of topics– from healthcare facility procedures, to oncological medicines, to finding out modalities. The year prior, our software application sustained a document variety of peer-reviewed publications, which we highlighted in a previous post
Our companions’ fundamental financial investments in technical facilities throughout the top of the COVID- 19 pandemic has made the remarkable quantity of magazines feasible.
Public and commercial healthcare partners have actually proactively scaled their investments in data sharing and study software past COVID action to construct a more extensive data foundation for biomedical study. As an example, the N 3 C Enclave — which houses the data of 21 5 M individuals from across virtually 100 institutions– is being used day-to-day by countless researchers throughout companies and companies. Provided the complexity of accessing, arranging, and harnessing ever-expanding biomedical data, the need for comparable research study resources continues to increase.
In this article, we take a closer look at some noteworthy publications from 2023 and analyze what exists in advance for software-backed research study.
Arising Innovation and the Velocity of Scientific Study
The influence of new innovations on the scientific venture is accelerating research-based outcomes at a formerly impossible range. Arising technologies and progressed software are helping develop extra precise, arranged, and accessible information properties, which in turn are enabling scientists to deal with significantly intricate scientific difficulties. Specifically, as a modular, interoperable, and versatile platform, Shop has actually been utilized to support a diverse series of clinical studies with special study features, including AI-assisted rehabs identification, real-world evidence generation, and much more.
In 2023, the market has likewise seen an exponential development in passion around utilizing Artificial Intelligence (AI)– and in particular, generative AI and big language designs (LLM)– in the health and wellness and life science domains. Alongside other core technical innovations (e.g., around information high quality and use), the potential for AI-enabled software application to speed up scientific research is extra encouraging than ever. As an industrial leader in AI-enabled software application, Palantir has actually gone to the center of finding liable, secure, and effective ways to apply AI-enabled abilities to sustain our partners across industries in accomplishing their essential missions.
Over the previous year, Palantir software program aided drive key elements of our partners’ research study and we stand ready to proceed working together with our companions in federal government, market, and civil culture to take on the most important difficulties in wellness and science in advance. In the following area, we give concrete examples of how the power of software application can help breakthrough scientific research, highlighting some essential biomedical magazines powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
In addition to a variety of essential cancer cells and COVID therapy researches, Palantir Shop likewise made it possible for brand-new searchings for in the more comprehensive field of research method. Below, we highlight a sample of a few of one of the most impactful peer-reviewed write-ups released in 2023 that made use of Palantir Factory to aid drive their study.
Identifying brand-new reliable medication mixes for multiple 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.
- Recap : Several myeloma (MM) is regularly immune to drug treatment, requiring ongoing expedition to recognize brand-new, reliable restorative mixes. In this research, scientists used high-throughput medication testing to recognize over 1900 compounds with task versus a minimum of 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million combinations were reviewed in silico, and pairs of compounds with very associated task throughout the 47 cell lines and different systems of action were picked for further analysis. Especially, six (6 drug combinations were effective at 1 reducing over-expression of an essential healthy protein (MYC) that is commonly connected to the manufacturing of deadly cells and 2 increased expression of the p 16 healthy protein, which can help the body reduce lump growth. Additionally, 3 (3 recognized medicine mixes boosted chances of survival and decreased the development of cancer cells, partially by reducing task of pathways involved in TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings recognize possibly helpful novel medication mixes for difficult to deal with multiple myeloma.
New rank-based healthy protein classification method to enhance glioblastoma therapy
- Magazine : Cancers cells
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, one of the most usual sort of malignant brain tumors, differ greatly, restricting the capacity to examine the organic elements that drive whether glioblastomas will certainly react to treatment. Nonetheless, information analysis of the proteome– the whole set of healthy proteins that can be revealed by the tumor– can 1 offer non-invasive approaches of classifying glioblastomas to assist notify therapy and 2 identify healthy protein biomarkers connected with interventions to evaluate response to treatment. In this research, scientists established and examined a novel rank-based weighting approach (“RadWise”) for protein features to help ML formulas concentrate on the the most pertinent variables that suggest post-therapy end results. RadWise uses an extra reliable pathway to determine the proteins and functions that can be vital targets for treatment of these aggressive, fatal lumps.
Recognizing liver cancer subtypes likely to react to immunotherapy
- Magazine : 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.
- Recap : Liver cancer is an increasing reason for cancer cells deaths in the United States. This study investigated variation in client end results for a type of immunotherapy making use of immune checkpoint preventions. Researchers noted that particular molecular subtypes of cancer cells, defined by 1 the aggression of cancer cells 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 an individual’s one-of-a-kind cancer cells is most likely to respond to this type of treatment, implying they can use much more targeted use immunotherapy and improve possibility of success.
Using algorithms to EHR data to infer maternity timing for even more precise maternal health research 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.
- Summary : There are indications that COVID- 19 can cause pregnancy issues, and expectant individuals appear to be at higher threat for a lot more serious COVID- 19 infection. Analysis of health and wellness record (EHR) information can assist give more insight, yet as a result of information variances, it is often tough to determine 1 maternity begin and end days and 2 gestational age of the infant at birth. To assist, scientists adjusted an existing algorithm for identifying gestational age and pregnancy size that depends on analysis codes and distribution days. To raise the accuracy of this algorithm, the scientists layered on their own data-driven algorithms to exactly infer maternity begin, pregnancy end, and site period throughout a pregnancy’s progression while also addressing EHR data inconsistency. This approach can be accurately made use of to make the fundamental inference of maternity timing and can be applied to future pregnancy and maternal research on subjects such as adverse maternity outcomes and mother’s death.
A novel method for fixing EHR data quality problems for scientific encounters
- 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.
- Summary : Medical experience data can be a rich resource for research, but it frequently varies considerably throughout carriers, centers, and organizations, making it tough to uniformly analyze. This inconsistency is amplified when multisite digital health document (EHR) data is networked with each other in a main data source. In this research study, scientists created an unique, generalizable technique for solving medical experience data for analysis by combining associated encounters into composite “macrovisits.” This approach aids control and solve EHR encounter information concerns in a generalizable, repeatable method, permitting scientists to much more quickly open the capacity of this abundant data for massive research studies.
Improving transparency 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 reviewing and classifying a microorganism’s attributes, can help researchers much better understand the distinctions in between individuals and groups of individuals, and to determine certain characteristics that might be connected to specific illness or conditions. Artificial intelligence (ML) can aid obtain phenotypes from information, yet these are testing to share and duplicate as a result of their complexity. Researchers in this research devised and educated an ML-based phenotype to identify patients extremely likely to have Long COVID, a significantly urgent public wellness factor to consider, and showed applicability of this technique for various other environments. This is a success tale of just how clear modern technology and collaboration can make phenotyping formulas much more obtainable to a broad audience of scientists in informatics, reducing duplicated job and offering them with a tool to reach insights quicker, including for various other illness.
Navigating obstacles for multisite real world information (RWD) data sources
- Publication : BMC Medical Study Method
- 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
- Summary : Working with big range streamlined EHR data sources such as N 3 C for study requires specialized understanding and cautious examination of information high quality and efficiency. This study examines the procedure of evaluating data top quality to prepare for research study, focusing on medicine efficacy studies. Scientist identified a number of methods and finest methods to better identify crucial research study aspects consisting of exposure to therapy, standard health comorbidities, and vital end results of rate of interest. As huge range, streamlined real life data sources end up being a lot more widespread, this is a handy advance in helping scientists more effectively navigate their one-of-a-kind data obstacles while unlocking vital applications for drug growth.
What’s Following for Health And Wellness Research Study at Palantir
While 2023 saw vital progress, the new year brings with it new possibilities, as well as an urgency to use the current technological developments to one of the most important health concerns dealing with people, communities, and the public at big. For instance, in 2023, the united state Government reaffirmed its commitment to combating systemic diseases such as cancer, and also released a new health and wellness firm, the Advanced Study Projects Agency for Wellness ( ARPA-H
Furthermore, in 2024, Palantir is pleased to be an industry companion in the innovative National AI Research Resource (NAIRR) pilot program , developed under the auspices of the National Scientific Research Structure (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Administration’s Executive Order on Expert System — Palantir will certainly be dealing with its veteran partners at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain research study beforehand safe, protected, and trustworthy AI, along with the application of AI to obstacles in medical care.
In 2024, we’re excited to work with partners, new and old, on concerns of vital value, applying our understandings on information, tools, and study to aid allow meaningful enhancements in health and wellness end results for all.
To get more information regarding our continuing job throughout health and wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies