2023 in Evaluation
Health And Wellness Research + Innovation: A Pivotal Moment
Palantir Shop has actually long contributed in accelerating the study findings of our wellness and life science partners, assisting accomplish unmatched insights, enhance information accessibility, enhance data functionality, and assist in sophisticated visualization and analysis of data sources– all while protecting the personal privacy and safety and security of the backing data
In 2023, Foundry supported over 50 peer-reviewed publications in well-regarded journals, covering a varied number of subjects– from health center procedures, to oncological medications, to learning methods. The year prior, our software sustained a document number of peer-reviewed publications, which we highlighted in a prior blog post
Our companions’ fundamental investments in technological facilities throughout the height of the COVID- 19 pandemic has made the remarkable quantity of magazines feasible.
Public and industrial health care companions have proactively scaled their investments in data sharing and study software application beyond COVID action to construct a more detailed data foundation for biomedical 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 used everyday by hundreds of researchers throughout companies and organizations. Provided the intricacy of accessing, organizing, and utilizing ever-expanding biomedical information, the need for comparable research sources continues to rise.
In this blog post, we take a closer take a look at some noteworthy magazines from 2023 and examine what lies ahead for software-backed research study.
Arising Innovation and the Velocity of Scientific Research Study
The effect of new modern technologies on the scientific enterprise is increasing research-based results at a previously difficult scale. Emerging innovations and progressed software are assisting produce more precise, arranged, and obtainable information properties, which consequently are enabling scientists to tackle significantly complex scientific difficulties. Particularly, as a modular, interoperable, and adaptable platform, Foundry has been utilized to support a diverse variety of scientific researches with special study features, including AI-assisted therapies recognition, real-world proof generation, and extra.
In 2023, the sector has actually additionally seen a rapid growth in passion around utilizing Artificial Intelligence (AI)– and particularly, generative AI and huge language versions (LLM)– in the wellness and life scientific research domain names. Alongside other core technological improvements (e.g., around information quality and use), the possibility for AI-enabled software program to accelerate scientific research study is extra encouraging than ever before. As a business leader in AI-enabled software, Palantir has actually gone to the leading edge of searching for accountable, protected, and effective means to apply AI-enabled capacities to sustain our companions throughout markets in accomplishing their crucial goals.
Over the previous year, Palantir software program aided drive essential components of our companions’ research and we stand all set to continue collaborating with our companions in federal government, market, and civil culture to take on the most important difficulties in health and science in advance. In the following area, we offer concrete examples of exactly how the power of software can assist advance scientific study, highlighting some vital biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
Along with a variety of important cancer cells and COVID treatment researches, Palantir Factory likewise allowed brand-new searchings for in the more comprehensive field of research technique. Listed below, we highlight a sample of some of one of the most impactful peer-reviewed posts published in 2023 that utilized Palantir Foundry to help drive their study.
Identifying new effective medicine mixes for numerous 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 : Several myeloma (MM) is often resistant to medicine therapy, needing continued exploration to determine brand-new, effective healing combinations. In this research study, scientists made use of high-throughput medicine screening to determine over 1900 compounds with activity against at the very least 25 of the 47 MM cell lines examined. From these 1900 compounds, 3 61 million combinations were assessed in silico, and pairs of substances with very correlated task throughout the 47 cell lines and different mechanisms of activity were chosen for further analysis. Particularly, six (6 medicine mixes worked at 1 lowering over-expression of an essential protein (MYC) that is often connected to the manufacturing of deadly cells and 2 increased expression of the p 16 protein, which can help the body subdue tumor development. Moreover, three (3 identified medicine mixes increased possibilities of survival and reduced the growth of cancer cells, partly by minimizing task of pathways involved in TGFβ/ SMAD signaling, which manage the cell life process. These preclinical searchings for recognize possibly useful unique medication mixes for difficult to treat multiple myeloma.
New rank-based healthy protein classification method to improve 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, the most typical kind of malignant mind tumors, vary considerably, restricting the capacity to evaluate the biological elements that drive whether glioblastomas will certainly reply to therapy. Nonetheless, data analysis of the proteome– the entire set of healthy proteins that can be shared by the tumor– can 1 deal non-invasive methods of identifying glioblastomas to help inform therapy and 2 identify protein biomarkers connected with treatments to review action to therapy. In this study, scientists developed and tested an unique rank-based weighting approach (“RadWise”) for protein features to assist ML formulas concentrate on the the most relevant variables that show post-therapy results. RadWise supplies a much more reliable pathway to determine the healthy proteins and features that can be crucial targets for therapy of these aggressive, deadly tumors.
Recognizing liver cancer subtypes most likely to reply 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.
- Recap : Liver cancer is an increasing source of cancer cells fatalities in the United States. This study checked out variation in person outcomes for a kind of immunotherapy using immune checkpoint inhibitors. Researchers kept in mind that certain molecular subtypes of cancer, defined by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint inhibitor therapy. Determining these molecular subtypes can aid medical professionals recognize whether a person’s one-of-a-kind cancer is most likely to reply to this type of treatment, indicating they can apply much more targeted use immunotherapy and boost probability of success.
Using formulas to EHR information to presume maternity timing for more exact mother’s health and wellness research
- Publication : JAMIA, Women’s Health Scandal sheet
- Authors : 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 expectant individuals appear to be at greater threat for more extreme COVID- 19 infection. Analysis of wellness document (EHR) information can aid give more insight, yet as a result of data incongruities, it is often hard to identify 1 maternity beginning and end dates and 2 gestational age of the child at birth. To aid, researchers adapted an existing algorithm for determining gestational age and maternity size that relies upon analysis codes and delivery days. To increase the accuracy of this algorithm, the scientists layered by themselves data-driven algorithms to specifically infer maternity start, pregnancy end, and landmark period throughout a maternity’s progression while additionally dealing with EHR information variance. This method can be reliably made use of to make the fundamental reasoning of maternity timing and can be put on future maternity and maternity research on subjects such as negative pregnancy outcomes and mother’s death.
An unique method for fixing EHR information quality issues for medical 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.
- Summary : Medical encounter data can be an abundant source for research study, but it frequently varies considerably across providers, facilities, and organizations, making it challenging to uniformly examine. This incongruity is amplified when multisite electronic health record (EHR) information is networked together in a main data source. In this study, scientists created an unique, generalizable technique for solving scientific encounter information for analysis by combining relevant encounters right into composite “macrovisits.” This methodology aids adjust and solve EHR experience information concerns in a generalizable, repeatable way, enabling researchers to a lot more conveniently open the potential of this abundant information for large researches.
Improving openness in phenotyping for Long COVID research study and beyond
- Publication : 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 procedure of reviewing and categorizing an organism’s qualities, can assist scientists better comprehend the differences between people and groups of people, and to recognize certain traits that might be connected to specific diseases or conditions. Artificial intelligence (ML) can assist derive phenotypes from information, but these are challenging to share and duplicate due to their complexity. Scientists in this research designed and educated an ML-based phenotype to identify clients highly potential to have Long COVID, an increasingly urgent public wellness consideration, and showed applicability of this approach for various other atmospheres. This is a success tale of just how transparent innovation and collaboration can make phenotyping algorithms extra accessible to a broad audience of researchers in informatics, lowering duplicated work and providing them with a tool to reach understandings faster, including for other diseases.
Browsing challenges for multisite real life data (RWD) data sources
- 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
- Recap : Working with big scale systematized EHR data sources such as N 3 C for study requires specialized expertise and cautious examination of information high quality and completeness. This study analyzes the procedure of examining data high quality in preparation for research, focusing on medicine efficiency researches. Scientist determined several techniques and ideal techniques to better define crucial study aspects including exposure to treatment, baseline health and wellness comorbidities, and vital results of interest. As huge scale, systematized real world data sources end up being much more common, this is a valuable progression in assisting scientists better navigate their unique data challenges while unlocking crucial applications for drug advancement.
What’s Next for Health And Wellness Research Study at Palantir
While 2023 saw important progress, the new year brings with it brand-new possibilities, along with an urgency to use the most up to date technological improvements to one of the most essential health and wellness concerns dealing with people, neighborhoods, and the public at huge. As an example, in 2023, the U.S. Federal government reaffirmed its dedication to combating systemic illness such as cancer cells, and also introduced a brand-new wellness agency, the Advanced Research Study Projects Firm for Health And Wellness ( ARPA-H
In addition, in 2024, Palantir is pleased to be a sector partner in the ingenious National AI Study Resource (NAIRR) pilot program , developed under the auspices of the National Science Structure (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was guided by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will be dealing with its long-time companions at the National Institutes of Wellness (NIH) and N 3 C to support research study ahead of time risk-free, secure, and trustworthy AI, in addition to the application of AI to obstacles in health care.
In 2024, we’re delighted to work with partners, new and old, on issues of important value, applying our knowings on data, tools, and study to assist enable significant renovations in health and wellness end results for all.
To learn more regarding our proceeding job across health and wellness and life sciences, see https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies