2023 in Testimonial
Wellness Research Study + Technology: A Turning Point
Palantir Shop has actually long been instrumental in speeding up the research findings of our health and wellness and life scientific research companions, aiding achieve unprecedented understandings, enhance data gain access to, improve information use, and facilitate innovative visualization and analysis of information sources– all while securing the privacy and safety of the backing data
In 2023, Foundry sustained over 50 peer-reviewed publications in esteemed journals, covering a varied variety of subjects– from healthcare facility procedures, to oncological drugs, to discovering methods. The year prior, our software program sustained a record variety of peer-reviewed magazines, which we highlighted in a prior article
Our partners’ foundational financial investments in technological framework during the height of the COVID- 19 pandemic has made the outstanding amount of publications feasible.
Public and industrial health care partners have actually proactively scaled their financial investments in information sharing and research study software application past COVID action to build a much more thorough information foundation for biomedical research. As an example, the N 3 C Enclave — which houses the data of 21 5 M people from throughout nearly 100 institutions– is being used everyday by thousands of researchers across firms and organizations. Given the intricacy of accessing, organizing, and taking advantage of ever-expanding biomedical data, the demand for comparable research sources remains to rise.
In this blog post, we take a closer look at some significant publications from 2023 and analyze what lies in advance for software-backed research study.
Arising Innovation and the Acceleration of Scientific Research
The influence of brand-new technologies on the scientific enterprise is increasing research-based results at a previously difficult range. Arising modern technologies and progressed software application are helping produce a lot more specific, organized, and obtainable information possessions, which subsequently are enabling scientists to deal with progressively intricate scientific difficulties. In particular, as a modular, interoperable, and versatile platform, Foundry has been utilized to sustain a diverse series of clinical research studies with distinct research study features, consisting of AI-assisted therapies identification, real-world proof generation, and a lot more.
In 2023, the industry has actually likewise seen a rapid development in interest around using Expert system (AI)– and in particular, generative AI and large language versions (LLM)– in the health and life scientific research domains. Alongside other core technological improvements (e.g., around information quality and functionality), the capacity for AI-enabled software program to speed up scientific study is more encouraging than ever before. As an industrial leader in AI-enabled software program, Palantir has actually been at the leading edge of searching for accountable, secure, and reliable means to apply AI-enabled abilities to support our companions across industries in achieving their essential objectives.
Over the past year, Palantir software application assisted drive crucial elements of our partners’ study and we stand prepared to proceed collaborating with our partners in federal government, market, and civil culture to take on the most pressing difficulties in health and wellness and scientific research ahead. In the next area, we provide concrete instances of just how the power of software program can help advance scientific study, highlighting some vital biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Factory
In addition to a variety of crucial cancer and COVID therapy researches, Palantir Factory additionally enabled new searchings for in the wider field of research methodology. Below, we highlight an example of a few of one of the most impactful peer-reviewed posts published in 2023 that used Palantir Foundry to aid drive their research.
Recognizing brand-new reliable medicine mixes for multiple myeloma
- Publication : 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 : Numerous myeloma (MM) is frequently immune to drug treatment, needing ongoing exploration to determine brand-new, reliable therapeutic mixes. In this research, researchers utilized high-throughput medicine testing to identify over 1900 substances with task against a minimum of 25 of the 47 MM cell lines evaluated. From these 1900 substances, 3 61 million mixes were assessed in silico, and pairs of compounds with highly correlated activity throughout the 47 cell lines and different systems of action were picked for further analysis. Especially, six (6 drug mixes were effective at 1 minimizing over-expression of a crucial healthy protein (MYC) that is frequently linked to the production of deadly cells and 2 raised expression of the p 16 protein, which can assist the body reduce tumor growth. Additionally, three (3 recognized medication mixes increased opportunities of survival and reduced the growth of cancer cells, partially by minimizing activity of pathways associated with TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical findings identify possibly beneficial novel drug combinations for difficult to deal with several myeloma.
New rank-based healthy protein category approach 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, the most common kind of malignant brain growths, vary significantly, limiting the capability to assess the organic aspects that drive whether glioblastomas will react to treatment. However, information evaluation of the proteome– the whole collection of proteins that can be shared by the lump– can 1 offer non-invasive methods of identifying glioblastomas to aid educate therapy and 2 determine protein biomarkers connected with interventions to review feedback to treatment. In this research study, researchers developed and tested a novel rank-based weighting technique (“RadWise”) for protein features to aid ML algorithms focus on the the most pertinent elements that indicate post-therapy results. RadWise uses a much more reliable path to identify the healthy proteins and features that can be essential targets for treatment of these aggressive, deadly lumps.
Identifying liver cancer cells subtypes most likely to reply to immunotherapy
- Publication : Cell Records 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 is a climbing source of cancer fatalities in the United States. This research study checked out variation in patient outcomes for a kind of immunotherapy making use of immune checkpoint preventions. Researchers noted that specific molecular subtypes of cancer, specified by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were linked to greater survival rates with immune checkpoint inhibitor treatment. Identifying these molecular subtypes can assist physicians identify whether an individual’s one-of-a-kind cancer is most likely to react to this sort of treatment, meaning they can use more targeted use of immunotherapy and improve probability of success.
Applying formulas to EHR information to infer pregnancy timing for even more precise mother’s wellness research
- Magazine : JAMIA, Female’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., Hillside, E.L.
- Recap : There are indications that COVID- 19 can create pregnancy difficulties, and pregnant persons appear to be at greater risk for a lot more severe COVID- 19 infection. Analysis of health and wellness document (EHR) information can assist give even more insight, however as a result of information incongruities, it is usually tough to identify 1 maternity start and end days and 2 gestational age of the infant at birth. To help, researchers adjusted an existing formula for figuring out gestational age and pregnancy size that relies upon diagnostic codes and delivery dates. To raise the precision of this formula, the scientists layered by themselves data-driven formulas to specifically infer pregnancy begin, maternity end, and site timespan throughout a pregnancy’s development while likewise resolving EHR information disparity. This method can be accurately made use of to make the fundamental inference of maternity timing and can be put on future pregnancy and maternal study on topics such as negative pregnancy outcomes and maternal mortality.
An unique technique for resolving EHR information high quality issues for clinical experiences
- 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 : Clinical experience information can be an abundant source for research study, yet it usually differs substantially throughout suppliers, facilities, and organizations, making it tough to evenly assess. This variance is magnified when multisite digital health and wellness record (EHR) information is networked with each other in a main data source. In this study, scientists created a novel, generalizable approach for settling scientific encounter information for analysis by combining relevant encounters into composite “macrovisits.” This methodology helps adjust and fix EHR experience information issues in a generalizable, repeatable way, enabling scientists to much more easily unlock the potential of this abundant information for large researches.
Improving openness in phenotyping for Long COVID research study and beyond
- Magazine : Journal of the American Medical Informatics Association
- 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
- Recap : Phenotyping, the process of assessing and categorizing an organism’s qualities, can aid scientists better comprehend the distinctions in between people and teams of people, and to determine certain characteristics that might be connected to particular illness or problems. Machine learning (ML) can help derive phenotypes from information, but these are challenging to share and duplicate due to their intricacy. Scientists in this study designed and trained an ML-based phenotype to determine people highly likely to have Lengthy COVID, an increasingly urgent public health consideration, and revealed applicability of this method for other environments. This is a success tale of how clear innovation and cooperation can make phenotyping algorithms more obtainable to a wide target market of researchers in informatics, lowering duplicated job and providing them with a device to get to insights faster, consisting of for other diseases.
Navigating challenges for multisite real world information (RWD) databases
- Publication : BMC Medical Research Study Approach
- 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
- Summary : Dealing with huge scale streamlined EHR databases such as N 3 C for research requires specialized expertise and mindful assessment of information high quality and efficiency. This research study checks out the process of analyzing information quality in preparation for study, focusing on medicine efficiency researches. Scientist identified numerous techniques and finest practices to better characterize important study aspects including direct exposure to therapy, baseline wellness comorbidities, and vital end results of interest. As big scale, centralized real life data sources become extra prevalent, this is a helpful progression in aiding researchers better navigate their special data challenges while unlocking important applications for drug growth.
What’s Following for Health And Wellness Research at Palantir
While 2023 saw essential progression, the new year brings with it brand-new opportunities, along with an urgency to apply the most recent technological developments to one of the most vital health and wellness issues dealing with individuals, neighborhoods, and the general public at huge. As an example, in 2023, the U.S. Government declared its dedication to combating systemic diseases such as cancer, and even introduced a brand-new health and wellness agency, the Advanced Study Projects Firm for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is proud to be an industry companion in the ingenious National AI Study Source (NAIRR) pilot program , developed under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was guided by the Biden Management’s Executive Order on Expert System — Palantir will certainly be working with its veteran partners at the National Institutes of Wellness (NIH) and N 3 C to support research beforehand safe, safe, and credible AI, as well as the application of AI to difficulties in healthcare.
In 2024, we’re excited to work with partners, new and old, on problems of vital relevance, using our knowings on information, tools, and research study to aid allow purposeful enhancements in health and wellness end results for all.
To get more information concerning our continuing work throughout wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies