2023 in Review
Health Study + Technology: A Turning Point
Palantir Foundry has long been instrumental in accelerating the research findings of our wellness and life scientific research partners, helping accomplish extraordinary understandings, streamline information gain access to, boost data use, and help with innovative visualization and evaluation of data sources– all while safeguarding the personal privacy and safety and security of the backing data
In 2023, Factory supported over 50 peer-reviewed publications in prestigious journals, covering a varied variety of subjects– from hospital operations, to oncological medications, to learning techniques. The year prior, our software program sustained a record variety of peer-reviewed publications, which we highlighted in a previous post
Our companions’ fundamental investments in technical infrastructure during the top of the COVID- 19 pandemic has actually made the remarkable quantity of publications feasible.
Public and commercial health care partners have proactively scaled their investments in data sharing and study software application past COVID feedback to develop a much more thorough data foundation for biomedical research study. As an example, the N 3 C Enclave — which houses the data of 21 5 M people from throughout almost 100 organizations– is being utilized daily by thousands of scientists throughout agencies and organizations. Provided the complexity of accessing, organizing, and using ever-expanding biomedical information, the demand for comparable research sources remains to increase.
In this article, we take a closer check out some noteworthy publications from 2023 and analyze what lies ahead for software-backed research study.
Arising Modern Technology and the Velocity of Scientific Research Study
The influence of brand-new innovations on the scientific enterprise is increasing research-based outcomes at a previously difficult range. Arising technologies and advanced software are aiding develop much more exact, arranged, and available information assets, which in turn are allowing scientists to deal with increasingly intricate scientific difficulties. Particularly, as a modular, interoperable, and adaptable platform, Shop has actually been made use of to sustain a diverse range of clinical researches with one-of-a-kind study features, consisting of AI-assisted rehabs recognition, real-world evidence generation, and more.
In 2023, the sector has likewise seen an exponential development in interest around using Artificial Intelligence (AI)– and particularly, generative AI and big language designs (LLM)– in the health and life scientific research domains. Together with various other core technical advancements (e.g., around information high quality and use), the possibility for AI-enabled software program to speed up scientific study is extra promising than ever. As an industrial leader in AI-enabled software application, Palantir has gone to the forefront of searching for accountable, safe, and efficient methods to apply AI-enabled capacities to support our partners throughout sectors in achieving their most important objectives.
Over the previous year, Palantir software application assisted drive key elements of our companions’ research study and we stand prepared to continue collaborating with our partners in federal government, industry, and civil society to take on one of the most pressing obstacles in health and scientific research in advance. In the next area, we give concrete examples of just how the power of software program can aid breakthrough clinical study, highlighting some vital biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Foundry
Along with a variety of vital cancer and COVID therapy research studies, Palantir Shop additionally made it possible for brand-new searchings for in the wider field of research approach. Below, we highlight an example of a few of one of the most impactful peer-reviewed posts published in 2023 that used Palantir Factory to help drive their research study.
Recognizing new efficient medicine combinations for several myeloma
- Publication : 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 medicine treatment, requiring continued exploration to determine brand-new, reliable healing combinations. In this research study, researchers used high-throughput medication testing to determine over 1900 substances with task versus a minimum of 25 of the 47 MM cell lines examined. From these 1900 substances, 3 61 million combinations were reviewed in silico, and sets of compounds with very associated activity throughout the 47 cell lines and various devices of activity were picked for more analysis. Especially, six (6 medicine mixes worked at 1 decreasing over-expression of an essential healthy protein (MYC) that is frequently linked to the manufacturing of malignant cells and 2 increased expression of the p 16 protein, which can aid the body suppress tumor growth. In addition, 3 (3 recognized medicine mixes enhanced chances of survival and decreased the development of cancer cells, partially by lowering activity of paths involved in TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical findings determine potentially useful novel medicine mixes for hard to treat numerous myeloma.
New rank-based protein classification method to improve glioblastoma treatment
- Magazine : Cancers cells
- Writers : 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 type of cancerous mind lumps, vary considerably, limiting the ability to assess the biological factors that drive whether glioblastomas will certainly reply to therapy. Nevertheless, information evaluation of the proteome– the whole set of proteins that can be revealed by the lump– can 1 offer non-invasive techniques of categorizing glioblastomas to assist inform treatment and 2 recognize protein biomarkers related to treatments to review reaction to therapy. In this study, scientists created and tested an unique rank-based weighting approach (“RadWise”) for protein features to aid ML formulas concentrate on the one of the most relevant variables that suggest post-therapy results. RadWise uses an extra efficient pathway to recognize the proteins and features that can be key targets for treatment of these aggressive, fatal lumps.
Determining liver cancer subtypes likely to reply to immunotherapy
- Publication : Cell Reports Medicine
- 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., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer cells is an increasing root cause of cancer cells fatalities in the United States. This study checked out variant in patient outcomes for a sort of immunotherapy using immune checkpoint preventions. Researchers noted that certain 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 rates with immune checkpoint inhibitor treatment. Recognizing these molecular subtypes can help physicians determine whether an individual’s special cancer cells is most likely to respond to this kind of intervention, implying they can apply extra targeted use immunotherapy and enhance possibility of success.
Applying algorithms to EHR information to presume pregnancy timing for even more accurate mother’s health research
- Magazine : JAMIA, Women’s Health and 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 cause pregnancy issues, and expectant individuals seem at higher danger for a lot more serious COVID- 19 infection. Analysis of health and wellness document (EHR) data can aid supply more understanding, but due to information disparities, it is often difficult to determine 1 pregnancy begin and end days and 2 gestational age of the infant at birth. To assist, researchers adjusted an existing formula for determining gestational age and pregnancy length that relies on analysis codes and distribution dates. To enhance the accuracy of this algorithm, the scientists layered on their own data-driven algorithms to specifically presume pregnancy beginning, maternity end, and site period throughout a maternity’s development while also attending to EHR information incongruity. This approach can be accurately utilized to make the foundational inference of pregnancy timing and can be related to future pregnancy and maternity research study on topics such as negative pregnancy end results and maternal mortality.
An unique method for settling EHR information top quality issues for professional encounters
- 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.
- Recap : Professional experience data can be a rich resource for study, however it commonly varies considerably throughout suppliers, facilities, and institutions, making it hard to consistently evaluate. This variance is magnified when multisite electronic health and wellness record (EHR) information is networked with each other in a main database. In this research study, researchers developed a novel, generalizable technique for dealing with professional experience information for evaluation by combining related encounters into composite “macrovisits.” This methodology aids control and deal with EHR experience data issues in a generalizable, repeatable method, allowing researchers to much more conveniently open the potential of this rich data for massive studies.
Improving transparency in phenotyping for Long COVID research study and beyond
- Publication : Journal of the American Medical Informatics Association
- 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 procedure of examining and classifying an organism’s attributes, can aid scientists better understand the differences in between individuals and groups of individuals, and to identify certain characteristics that might be linked to particular illness or conditions. Artificial intelligence (ML) can assist obtain phenotypes from data, yet these are testing to share and recreate due to their complexity. Scientists in this study devised and trained an ML-based phenotype to determine clients highly likely to have Lengthy COVID, a progressively immediate public health consideration, and showed applicability of this approach for other settings. This is a success story of exactly how transparent modern technology and cooperation can make phenotyping algorithms more obtainable to a broad audience of researchers in informatics, reducing duplicated job and offering them with a tool to reach insights much faster, consisting of for other illness.
Navigating difficulties for multisite real life information (RWD) data sources
- Publication : BMC Medical Research Study Approach
- Writers : 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
- Summary : Collaborating with big scale systematized EHR data sources such as N 3 C for research needs specialized understanding and mindful examination of information top quality and completeness. This research examines the procedure of evaluating information high quality to prepare for research, focusing on medicine efficiency research studies. Scientist identified numerous approaches and best methods to much better characterize crucial study elements consisting of exposure to therapy, standard health comorbidities, and essential outcomes of passion. As huge scale, systematized real world data sources end up being more prevalent, this is a valuable advance in helping researchers better navigate their special data challenges while unlocking crucial applications for medicine advancement.
What’s Next for Wellness Study at Palantir
While 2023 saw important development, the brand-new year brings with it brand-new opportunities, in addition to a necessity to apply the most recent technical developments to one of the most vital wellness issues facing individuals, areas, and the general public at big. For instance, in 2023, the U.S. Government reaffirmed its dedication to combating systemic illness such as cancer, and even introduced a brand-new wellness agency, the Advanced Study Projects Agency for Health ( ARPA-H
Furthermore, in 2024, Palantir is pleased to be an industry companion in the cutting-edge National AI Research Study Source (NAIRR) pilot program , produced under the auspices of the National Science Structure (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Administration’s Exec Order on Expert System — Palantir will be dealing with its long-time partners at the National Institutes of Health And Wellness (NIH) and N 3 C to support research study beforehand safe, safe and secure, and trustworthy AI, along with the application of AI to difficulties in health care.
In 2024, we’re delighted to collaborate with companions, new and old, on problems of vital importance, applying our discoverings on data, tools, and research study to aid allow meaningful improvements in health and wellness results for all.
To get more information regarding our proceeding work across health and wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies