2023 in Review
Health Research + Modern Technology: A Pivotal Moment
Palantir Shop has long been instrumental in accelerating the research findings of our wellness and life scientific research companions, assisting accomplish unprecedented understandings, streamline data access, boost information functionality, and facilitate innovative visualization and analysis of information sources– all while securing the personal privacy and security of the support information
In 2023, Foundry supported over 50 peer-reviewed publications in prestigious journals, covering a diverse number of subjects– from medical facility operations, to oncological medications, to learning techniques. The year prior, our software sustained a record number of peer-reviewed magazines, which we highlighted in a previous post
Our partners’ foundational financial investments in technical facilities during the optimal of the COVID- 19 pandemic has made the outstanding amount of magazines feasible.
Public and industrial health care partners have proactively scaled their financial investments in information sharing and study software application past COVID feedback to construct an extra thorough information foundation for biomedical research. For instance, the N 3 C Enclave — which houses the data of 21 5 M individuals from throughout practically 100 institutions– is being used day-to-day by thousands of researchers across companies and companies. Provided the intricacy of accessing, arranging, and harnessing ever-expanding biomedical information, the demand for similar research sources remains to rise.
In this article, we take a closer look at some notable magazines from 2023 and examine what exists ahead for software-backed research study.
Arising Modern Technology and the Acceleration of Scientific Research
The influence of brand-new technologies on the scientific business is accelerating research-based outputs at a formerly impossible range. Arising innovations and progressed software are helping create much more accurate, organized, and available information properties, which subsequently are permitting researchers to tackle increasingly intricate scientific difficulties. Particularly, as a modular, interoperable, and flexible platform, Shop has been made use of to support a varied series of clinical research studies with distinct study functions, including AI-assisted therapeutics recognition, real-world proof generation, and more.
In 2023, the market has actually additionally seen a rapid development in passion around using Expert system (AI)– and in particular, generative AI and huge language versions (LLM)– in the wellness and life science domain names. Alongside other core technological advancements (e.g., around data top quality and functionality), the capacity for AI-enabled software program to speed up scientific study is much more appealing than ever. As a business leader in AI-enabled software, Palantir has been at the leading edge of finding accountable, safe, and efficient ways to use AI-enabled capacities to sustain our companions throughout sectors in attaining their essential goals.
Over the previous year, Palantir software aided drive essential elements of our companions’ research study and we stand ready to proceed interacting with our partners in federal government, sector, and civil society to tackle one of the most pressing challenges in wellness and scientific research in advance. In the next section, we give concrete examples of just how the power of software can assist advancement clinical research study, highlighting some essential biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of important cancer and COVID therapy studies, Palantir Factory likewise made it possible for brand-new searchings for in the broader area of research study methodology. Below, we highlight a sample of some of the most impactful peer-reviewed posts released in 2023 that used Palantir Foundry to help drive their research study.
Identifying new effective drug combinations for numerous myeloma
- Publication : 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.
- Recap : Several myeloma (MM) is regularly resistant to drug therapy, requiring ongoing exploration to recognize new, effective restorative combinations. In this research study, researchers utilized high-throughput medicine screening to identify over 1900 substances with activity versus at least 25 of the 47 MM cell lines checked. From these 1900 compounds, 3 61 million mixes were reviewed in silico, and sets of substances with highly correlated activity across the 47 cell lines and different systems of activity were selected for additional evaluation. Particularly, six (6 drug mixes worked at 1 lowering over-expression of an essential protein (MYC) that is often connected to the manufacturing of malignant cells and 2 enhanced expression of the p 16 healthy protein, which can assist the body suppress tumor development. Moreover, three (3 recognized medicine mixes boosted possibilities of survival and decreased the development of cancer cells, partly by reducing activity of paths involved in TGFβ/ SMAD signaling, which regulate the cell life process. These preclinical searchings for recognize potentially useful novel drug combinations for tough to deal with multiple myeloma.
New rank-based healthy protein category method to enhance glioblastoma therapy
- Magazine : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, one of the most common sort of malignant brain tumors, differ considerably, limiting the ability to evaluate the biological elements that drive whether glioblastomas will certainly react to treatment. Nonetheless, data evaluation of the proteome– the entire set of healthy proteins that can be expressed by the growth– can 1 deal non-invasive approaches of identifying glioblastomas to aid notify therapy and 2 recognize protein biomarkers associated with treatments to review feedback to treatment. In this study, scientists developed and checked an unique rank-based weighting approach (“RadWise”) for protein includes to assist ML formulas focus on the the most appropriate variables that indicate post-therapy end results. RadWise offers a much more effective path to recognize the proteins and functions that can be vital targets for treatment of these hostile, fatal tumors.
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.
- Recap : Liver cancer cells is a rising reason for cancer fatalities in the United States. This research investigated variation in individual end results for a type of immunotherapy making use of immune checkpoint preventions. Scientist kept in mind that specific molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were connected to greater survival prices with immune checkpoint inhibitor therapy. Recognizing these molecular subtypes can help medical professionals determine whether a client’s one-of-a-kind cancer cells is most likely to react to this type of intervention, indicating they can use extra targeted use of immunotherapy and boost likelihood of success.
Using algorithms to EHR data to presume maternity timing for even more accurate maternal health research
- Publication : JAMIA, Female’s Health Special Edition
- 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 signs that COVID- 19 can cause maternity issues, and expectant individuals seem at higher threat for more extreme COVID- 19 infection. Evaluation of health and wellness record (EHR) information can help give even more understanding, however because of data disparities, it is commonly difficult to ascertain 1 maternity beginning and end days and 2 gestational age of the baby at birth. To aid, scientists adapted an existing formula for determining gestational age and pregnancy length that depends on diagnostic codes and delivery days. To raise the accuracy of this formula, the researchers layered by themselves data-driven algorithms to specifically infer pregnancy start, maternity end, and spots timespan throughout a pregnancy’s progression while also attending to EHR data inconsistency. This approach can be dependably utilized to make the foundational reasoning of pregnancy timing and can be put on future maternity and maternity research study on subjects such as damaging pregnancy results and maternal death.
A novel approach for resolving EHR information quality issues 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 : Clinical encounter information can be an abundant source for research study, yet it often differs significantly across providers, facilities, and institutions, making it challenging to uniformly examine. This inconsistency is multiplied when multisite digital health and wellness record (EHR) information is networked with each other in a main database. In this research, researchers developed a novel, generalizable method for solving scientific experience information for evaluation by incorporating related encounters right into composite “macrovisits.” This methodology helps manipulate and settle EHR encounter data problems in a generalizable, repeatable means, permitting scientists to much more easily open the possibility of this rich data for large-scale studies.
Improving openness in phenotyping for Long COVID study and past
- Publication : Journal of the American Medical Informatics Organization
- 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 Recoup Consortia
- Summary : Phenotyping, the process of examining and categorizing a microorganism’s attributes, can aid researchers much better understand the differences between individuals and teams of individuals, and to recognize details traits that might be connected to particular diseases or conditions. Machine learning (ML) can help acquire phenotypes from information, yet these are challenging to share and duplicate as a result of their intricacy. Researchers in this study developed and trained an ML-based phenotype to recognize people very possible to have Lengthy COVID, an increasingly urgent public health and wellness factor to consider, and revealed applicability of this technique for various other settings. This is a success tale of just how clear innovation and cooperation can make phenotyping formulas much more obtainable to a wide audience of researchers in informatics, lowering copied work and giving them with a device to get to understandings faster, including for various other conditions.
Browsing difficulties for multisite real life information (RWD) data sources
- Magazine : BMC Medical Research Technique
- 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 huge scale streamlined EHR data sources such as N 3 C for research needs specialized understanding and cautious analysis of data high quality and efficiency. This research study analyzes the process of assessing data top quality to prepare for research study, concentrating on drug effectiveness researches. Scientist recognized several approaches and ideal methods to better identify crucial study aspects consisting of direct exposure to treatment, standard health comorbidities, and key outcomes of interest. As large range, centralized real world databases become more widespread, this is a practical advance in helping scientists better browse their unique information difficulties while opening essential applications for medication development.
What’s Following for Health And Wellness Research Study at Palantir
While 2023 saw crucial progress, the brand-new year brings with it brand-new opportunities, as well as an urgency to apply the most up to date technological advancements to the most vital health and wellness concerns facing people, areas, and the public at large. For example, in 2023, the united state Government declared its dedication to combating systemic diseases such as cancer, and even launched a new wellness company, the Advanced Research Study Projects Firm for Health And Wellness ( ARPA-H
Additionally, in 2024, Palantir is proud to be a market partner in the ingenious National AI Research Study Source (NAIRR) pilot program , created under the auspices of the National Science Foundation (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was guided by the Biden Management’s Exec Order on Expert System — Palantir will certainly be collaborating with its long-time companions at the National Institutes of Health (NIH) and N 3 C to sustain research beforehand risk-free, safe, and trustworthy AI, in addition to the application of AI to obstacles in health care.
In 2024, we’re excited to collaborate with partners, brand-new and old, on problems of important significance, applying our learnings on data, devices, and research to aid allow purposeful improvements in health and wellness results for all.
To find out more about our continuing work across health and wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies