2023 in Review
Wellness Research + Modern Technology: A Transition
Palantir Foundry has actually long contributed in accelerating the study searchings for of our wellness and life scientific research companions, assisting achieve extraordinary insights, improve data accessibility, enhance data use, and help with advanced visualization and evaluation of information resources– all while protecting the personal privacy and safety of the backing data
In 2023, Foundry sustained over 50 peer-reviewed publications in esteemed journals, covering a varied number of topics– from hospital operations, to oncological drugs, to finding out techniques. The year prior, our software application sustained a document variety of peer-reviewed magazines, which we highlighted in a prior blog post
Our companions’ foundational investments in technical framework during the top of the COVID- 19 pandemic has made the remarkable amount of magazines feasible.
Public and industrial health care partners have actually proactively scaled their financial investments in information sharing and research study software application beyond COVID feedback to construct a much more detailed data foundation for biomedical research study. As an example, the N 3 C Enclave — which houses the data of 21 5 M clients from across almost 100 establishments– is being utilized everyday by thousands of scientists across firms and companies. Provided the intricacy of accessing, arranging, and harnessing ever-expanding biomedical information, the need for comparable research sources remains to climb.
In this post, we take a closer consider some significant publications from 2023 and examine what lies in advance for software-backed research study.
Arising Modern Technology and the Acceleration of Scientific Research Study
The impact of new innovations on the clinical venture is increasing research-based outputs at a formerly impossible scale. Arising modern technologies and advanced software program are helping produce a lot more specific, arranged, and accessible data properties, which consequently are allowing researchers to tackle significantly complicated clinical challenges. Specifically, as a modular, interoperable, and adaptable platform, Foundry has been utilized to sustain a diverse variety of scientific researches with unique research study functions, including AI-assisted rehabs recognition, real-world evidence generation, and more.
In 2023, the sector has additionally seen a rapid development in rate of interest around utilizing Expert system (AI)– and in particular, generative AI and huge language designs (LLM)– in the health and life science domains. Alongside other core technological advancements (e.g., around information high quality and functionality), the capacity for AI-enabled software application to accelerate scientific study is a lot more appealing than ever. As a commercial leader in AI-enabled software application, Palantir has gone to the center of searching for liable, safe and secure, and efficient methods to use AI-enabled abilities to sustain our partners across markets in accomplishing their most important goals.
Over the past year, Palantir software helped drive essential parts of our companions’ study and we stand ready to continue interacting with our partners in government, industry, and civil culture to tackle the most important challenges in wellness and science ahead. In the next area, we give concrete instances of how the power of software can aid advance scientific research study, highlighting some crucial biomedical magazines 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 broader area of research study methodology. Below, we highlight an example of several of one of the most impactful peer-reviewed write-ups released in 2023 that used Palantir Foundry to aid drive their research.
Recognizing brand-new effective medication mixes for several myeloma
- Magazine : Cancer 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.
- Summary : Numerous myeloma (MM) is often immune to medicine therapy, calling for ongoing expedition to determine brand-new, reliable therapeutic mixes. In this study, scientists used high-throughput medicine screening to determine over 1900 compounds with activity versus at least 25 of the 47 MM cell lines tested. From these 1900 compounds, 3 61 million mixes were assessed in silico, and pairs of compounds with very associated activity throughout the 47 cell lines and different devices of activity were chosen for more evaluation. Especially, six (6 medicine combinations were effective at 1 lowering over-expression of a key protein (MYC) that is often linked to the production of malignant cells and 2 enhanced expression of the p 16 protein, which can help the body suppress lump growth. In addition, 3 (3 determined medication mixes boosted possibilities of survival and decreased the growth of cancer cells, partly by minimizing task of paths involved in TGFβ/ SMAD signaling, which control the cell life process. These preclinical findings identify possibly valuable unique drug combinations for challenging to treat multiple myeloma.
New rank-based healthy protein category method to boost glioblastoma treatment
- Magazine : Cancers
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most common sort of cancerous brain growths, differ greatly, limiting the capacity to assess the organic aspects that drive whether glioblastomas will react to therapy. However, information analysis 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 assist educate therapy and 2 recognize protein biomarkers connected with treatments to examine feedback to therapy. In this research, scientists created and examined an unique rank-based weighting approach (“RadWise”) for healthy protein features to aid ML algorithms concentrate on the the most appropriate elements that indicate post-therapy outcomes. RadWise uses a much more efficient pathway to determine the proteins and attributes that can be key targets for treatment of these hostile, fatal growths.
Recognizing liver cancer cells subtypes most likely to respond to immunotherapy
- Publication : Cell Reports 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., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer cells is a rising cause of cancer cells deaths in the US. This study checked out variation in patient end results for a sort of immunotherapy using immune checkpoint inhibitors. Researchers noted that certain molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint prevention treatment. Recognizing these molecular subtypes can aid medical professionals determine whether an individual’s distinct cancer cells is likely to react to this type of intervention, meaning they can apply a lot more targeted use immunotherapy and enhance chance of success.
Applying formulas to EHR data to presume maternity timing for more precise mother’s health and wellness study
- Publication : 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., Hillside, E.L.
- Summary : There are signs that COVID- 19 can cause maternity issues, and pregnant individuals appear to be at greater risk for extra serious COVID- 19 infection. Analysis of wellness document (EHR) information can help give more understanding, but as a result of information inconsistencies, it is typically tough to ascertain 1 pregnancy begin and end days and 2 gestational age of the child at birth. To help, researchers adjusted an existing formula for establishing gestational age and maternity length that relies on diagnostic codes and delivery dates. To enhance the accuracy of this algorithm, the researchers layered by themselves data-driven formulas to exactly presume maternity beginning, maternity end, and site period throughout a pregnancy’s development while likewise dealing with EHR information inconsistency. This approach can be dependably made use of to make the foundational inference of pregnancy timing and can be put on future maternity and maternity research on topics such as adverse pregnancy end results and mother’s death.
An unique method for resolving EHR data high quality concerns for medical experiences
- 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.
- Recap : Medical experience information can be an abundant resource for study, however it commonly varies significantly across companies, facilities, and institutions, making it tough to consistently assess. This inconsistency is magnified when multisite digital health document (EHR) information is networked together in a main database. In this research study, scientists established an unique, generalizable approach for resolving clinical experience data for evaluation by incorporating relevant experiences right into composite “macrovisits.” This approach aids control and fix EHR encounter information problems in a generalizable, repeatable way, enabling scientists to much more conveniently unlock the possibility of this rich information for large research studies.
Improving openness in phenotyping for Long COVID research 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 Recuperate Consortia
- Summary : Phenotyping, the process of examining and categorizing a microorganism’s qualities, can assist scientists much better recognize the distinctions between people and groups of individuals, and to recognize details attributes that might be connected to specific conditions or conditions. Machine learning (ML) can help obtain phenotypes from data, however these are challenging to share and replicate as a result of their intricacy. Researchers in this study created and trained an ML-based phenotype to recognize clients extremely possible to have Long COVID, a progressively immediate public health factor to consider, and showed applicability of this method for other environments. This is a success story of just how transparent technology and partnership can make phenotyping algorithms a lot more easily accessible to a broad target market of scientists in informatics, decreasing copied job and giving them with a tool to get to understandings quicker, consisting of for other diseases.
Navigating challenges for multisite real world information (RWD) databases
- Magazine : BMC Medical Research Method
- 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 : Working with large range centralized EHR data sources such as N 3 C for research study needs specialized knowledge and mindful examination of data quality and completeness. This research study analyzes the process of analyzing information high quality in preparation for study, concentrating on medicine efficacy research studies. Researchers determined a number of approaches and best methods to better characterize important research elements consisting of exposure to therapy, standard wellness comorbidities, and vital results of interest. As big scale, streamlined real world data sources come to be more common, this is a handy advance in helping researchers better navigate their unique data difficulties while unlocking crucial applications for medication development.
What’s Following for Wellness Study at Palantir
While 2023 saw crucial progression, the brand-new year brings with it brand-new possibilities, along with a necessity to use the latest technological developments to the most important wellness problems facing individuals, neighborhoods, and the public at huge. For example, in 2023, the U.S. Government reaffirmed its commitment to combating systemic conditions such as cancer cells, and also released a brand-new wellness firm, the Advanced Research Projects Company for Health ( ARPA-H
In addition, in 2024, Palantir is honored to be an industry companion in the ingenious National AI Research Study Source (NAIRR) pilot program , created under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was routed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will be collaborating with its long-time partners at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain research in advancing secure, secure, and credible AI, as well as the application of AI to difficulties in medical care.
In 2024, we’re delighted to collaborate with companions, new and old, on issues of important value, applying our learnings on information, devices, and study to assist allow significant improvements in wellness outcomes for all.
To learn more about our continuing job across health and wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies