2023 in Review
Wellness Research + Innovation: A Pivotal Moment
Palantir Foundry has long contributed in speeding up the research study findings of our wellness and life science partners, aiding achieve unprecedented understandings, enhance information access, improve information functionality, and help with advanced visualization and evaluation of information sources– all while securing the personal privacy and safety of the backing data
In 2023, Shop supported over 50 peer-reviewed magazines in well-regarded journals, covering a diverse number of topics– from health center procedures, to oncological drugs, to learning techniques. The year prior, our software program sustained a record variety of peer-reviewed publications, which we highlighted in a prior post
Our companions’ foundational investments in technological framework throughout the height of the COVID- 19 pandemic has actually made the excellent quantity of publications possible.
Public and industrial health care partners have actually proactively scaled their financial investments in data sharing and research study software application past COVID feedback to build a much more detailed data foundation for biomedical study. For example, the N 3 C Enclave — which houses the information of 21 5 M people from across practically 100 institutions– is being made use of daily by thousands of scientists throughout firms and companies. Given the intricacy of accessing, arranging, and harnessing ever-expanding biomedical information, the need for similar research sources continues to increase.
In this article, we take a closer look at some notable publications from 2023 and examine what exists in advance for software-backed research.
Emerging Innovation and the Acceleration of Scientific Study
The effect of new modern technologies on the scientific enterprise is increasing research-based results at a previously difficult range. Emerging technologies and advanced software program are aiding create much more precise, organized, and obtainable data properties, which subsequently are permitting researchers to tackle progressively intricate scientific challenges. In particular, as a modular, interoperable, and adaptable platform, Factory has actually been made use of to sustain a diverse series of scientific studies with distinct research functions, consisting of AI-assisted rehabs identification, real-world evidence generation, and a lot more.
In 2023, the industry has additionally seen an exponential development in passion around utilizing Artificial Intelligence (AI)– and particularly, generative AI and huge language models (LLM)– in the wellness and life scientific research domains. Alongside various other core technical innovations (e.g., around data quality and use), the possibility for AI-enabled software to speed up scientific study is more encouraging than ever before. As a business leader in AI-enabled software program, Palantir has actually gone to the forefront of searching for accountable, safe, and efficient ways to apply AI-enabled capabilities to support our companions across markets in achieving their most important goals.
Over the previous year, Palantir software aided drive crucial elements of our partners’ study and we stand prepared to proceed interacting with our partners in government, market, and civil society to tackle the most pressing difficulties in health and scientific research ahead. In the following area, we supply concrete examples of how the power of software application can assist advancement scientific research study, highlighting some vital biomedical publications powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of important cancer cells and COVID treatment studies, Palantir Factory likewise allowed brand-new findings in the broader area of research approach. Listed below, we highlight a sample of several of the most impactful peer-reviewed write-ups published in 2023 that made use of Palantir Foundry to assist drive their research.
Recognizing new efficient medicine mixes for several 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 often immune to medicine treatment, needing ongoing exploration to determine brand-new, efficient restorative mixes. In this research, scientists used high-throughput drug testing to determine over 1900 substances with activity against a minimum of 25 of the 47 MM cell lines examined. From these 1900 substances, 3 61 million mixes were examined in silico, and pairs of substances with very correlated task throughout the 47 cell lines and different mechanisms of action were selected for additional analysis. Particularly, 6 (6 medicine mixes worked at 1 reducing over-expression of a vital healthy protein (MYC) that is typically connected to the manufacturing of malignant cells and 2 enhanced expression of the p 16 healthy protein, which can help the body suppress tumor development. In addition, 3 (3 determined drug mixes enhanced opportunities of survival and lowered the development of cancer cells, partially by decreasing activity of paths associated with TGFβ/ SMAD signaling, which manage the cell life process. These preclinical searchings for identify potentially valuable unique medicine combinations for difficult to treat numerous myeloma.
New rank-based healthy protein classification approach to enhance glioblastoma therapy
- Publication : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most typical sort of cancerous mind lumps, vary substantially, limiting the capability to evaluate the biological aspects that drive whether glioblastomas will reply to therapy. Nevertheless, information analysis of the proteome– the whole set of healthy proteins that can be revealed by the growth– can 1 offer non-invasive techniques of classifying glioblastomas to help educate therapy and 2 determine healthy protein biomarkers related to treatments to assess reaction to treatment. In this research study, researchers developed and evaluated a novel rank-based weighting method (“RadWise”) for healthy protein includes to help ML algorithms focus on the the most relevant elements that show post-therapy results. RadWise provides a much more effective path to determine the proteins and features that can be key targets for therapy of these hostile, fatal growths.
Determining liver cancer subtypes likely to react to immunotherapy
- Magazine : Cell Reports Medication
- 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.
- Summary : Liver cancer is an increasing source of cancer cells fatalities in the United States. This research explored variation in individual end results for a type of immunotherapy utilizing immune checkpoint preventions. Scientist noted that particular 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. Determining these molecular subtypes can help medical professionals identify whether a person’s one-of-a-kind cancer cells is likely to respond to this type of treatment, suggesting they can apply more targeted use immunotherapy and boost possibility of success.
Using formulas to EHR data to presume pregnancy timing for even more exact maternal health and wellness research study
- Publication : JAMIA, Women’s 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., Hillside, E.L.
- Summary : There are signs that COVID- 19 can create pregnancy issues, and pregnant persons appear to be at greater risk for a lot more serious COVID- 19 infection. Analysis of health and wellness record (EHR) data can assist offer more insight, yet as a result of information inconsistencies, it is often challenging to establish 1 maternity start and end days and 2 gestational age of the baby at birth. To help, researchers adapted an existing formula for figuring out gestational age and maternity size that counts on analysis codes and shipment days. To enhance the precision of this formula, the researchers layered by themselves data-driven algorithms to exactly presume pregnancy beginning, maternity end, and spots timespan throughout a maternity’s progression while likewise attending to EHR data disparity. This method can be reliably used to make the foundational reasoning of maternity timing and can be applied to future pregnancy and maternal research study on subjects such as adverse maternity outcomes and maternal mortality.
A novel technique for settling EHR information top quality concerns for professional 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 experience information can be a rich source for research, however it commonly varies significantly throughout providers, facilities, and organizations, making it tough to evenly analyze. This inconsistency is magnified when multisite electronic wellness record (EHR) information is networked together in a central database. In this study, researchers created a novel, generalizable technique for resolving scientific encounter data for evaluation by combining related experiences into composite “macrovisits.” This methodology aids adjust and deal with EHR encounter data concerns in a generalizable, repeatable way, allowing scientists to extra easily unlock the possibility of this abundant information for large-scale research studies.
Improving openness in phenotyping for Long COVID study and past
- Magazine : 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 Recuperate Consortia
- Summary : Phenotyping, the procedure of reviewing and classifying a microorganism’s qualities, can aid researchers better understand the differences between individuals and teams of people, and to identify details traits that might be connected to particular conditions or problems. Machine learning (ML) can help obtain phenotypes from data, yet these are challenging to share and reproduce as a result of their intricacy. Scientists in this research devised and educated an ML-based phenotype to determine people very probable to have Long COVID, a significantly immediate public wellness factor to consider, and showed applicability of this approach for other settings. This is a success story of just how transparent innovation and cooperation can make phenotyping formulas much more available to a wide audience of researchers in informatics, minimizing copied work and providing them with a tool to get to understandings quicker, including for other conditions.
Browsing challenges for multisite real life data (RWD) data sources
- Publication : BMC Medical Research Methodology
- 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 : Dealing with big range systematized EHR data sources such as N 3 C for research requires specialized understanding and mindful examination of information high quality and efficiency. This research study analyzes the procedure of analyzing information high quality to prepare for research, focusing on medicine efficiency research studies. Scientist identified numerous techniques and finest techniques to much better characterize essential research study elements including direct exposure to therapy, baseline health and wellness comorbidities, and crucial results of rate of interest. As huge range, systematized real life data sources end up being extra widespread, this is a practical advance in aiding researchers more effectively navigate their one-of-a-kind information obstacles while unlocking crucial applications for drug development.
What’s Next for Health And Wellness Study at Palantir
While 2023 saw important progress, the brand-new year brings with it brand-new possibilities, along with a necessity to use the latest technological innovations to the most important health problems facing individuals, areas, and the public at big. For instance, in 2023, the U.S. Government reaffirmed its commitment to combating systemic conditions such as cancer, and also released a new wellness agency, the Advanced Research Study Projects Company for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is honored to be an industry companion in the innovative National AI Study Source (NAIRR) pilot program , produced 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 Management’s Executive Order on Artificial Intelligence — Palantir will certainly be working with its veteran companions at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain study in advancing safe, safe and secure, and reliable AI, as well as the application of AI to difficulties in healthcare.
In 2024, we’re thrilled to work with partners, brand-new and old, on problems of essential importance, using our learnings on data, devices, and study to help allow meaningful enhancements in wellness end results for all.
To find out more regarding our continuing job across health and life scientific researches, go to https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies