2023 in Testimonial
Health Study + Modern Technology: A Pivotal Moment
Palantir Shop has actually long been instrumental in speeding up the study findings of our health and life scientific research companions, aiding achieve extraordinary insights, simplify data accessibility, enhance data functionality, and assist in advanced visualization and evaluation of data sources– all while shielding the privacy and security of the support data
In 2023, Foundry sustained over 50 peer-reviewed magazines in renowned journals, covering a diverse number of topics– from hospital procedures, to oncological drugs, to learning techniques. The year prior, our software application supported a record number of peer-reviewed publications, which we highlighted in a prior post
Our companions’ foundational investments in technological framework throughout the top of the COVID- 19 pandemic has actually made the excellent quantity of publications feasible.
Public and commercial healthcare companions have actually proactively scaled their financial investments in information sharing and research software past COVID response to build a more extensive data foundation for biomedical research study. As an example, the N 3 C Enclave — which houses the data of 21 5 M patients from across virtually 100 establishments– is being used day-to-day by thousands of researchers across companies and organizations. Given the complexity of accessing, arranging, and using ever-expanding biomedical data, the need for similar study resources continues to rise.
In this post, we take a closer check out some notable magazines from 2023 and examine what exists ahead for software-backed study.
Emerging Innovation and the Velocity of Scientific Research Study
The effect of new modern technologies on the scientific enterprise is speeding up research-based results at a formerly impossible range. Arising technologies and advanced software program are aiding develop extra specific, arranged, and available data properties, which subsequently are permitting researchers to tackle progressively complicated clinical difficulties. Particularly, as a modular, interoperable, and flexible platform, Foundry has been utilized to support a diverse range of scientific studies with special study functions, including AI-assisted therapies recognition, real-world proof generation, and a lot more.
In 2023, the industry has also seen a rapid growth in interest around utilizing Expert system (AI)– and in particular, generative AI and big language designs (LLM)– in the health and life scientific research domain names. Along with various other core technological innovations (e.g., around data top quality and usability), the potential for AI-enabled software application to speed up clinical research is much more promising than ever before. As a commercial leader in AI-enabled software application, Palantir has been at the center of finding accountable, secure, and efficient methods to apply AI-enabled abilities to sustain our companions across industries in achieving their essential goals.
Over the previous year, Palantir software program aided drive key elements of our companions’ research and we stand ready to proceed collaborating with our partners in government, industry, and civil culture to tackle the most pressing difficulties in wellness and science in advance. In the next area, we supply concrete examples of exactly how the power of software application can help advance scientific research study, highlighting some key biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Factory
In addition to a number of crucial cancer and COVID therapy research studies, Palantir Foundry also allowed new searchings for in the wider field of study methodology. Below, we highlight a sample of a few of one of the most impactful peer-reviewed write-ups released in 2023 that utilized Palantir Shop to help drive their research.
Recognizing new efficient medication mixes for multiple 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.
- Summary : Several myeloma (MM) is often immune to drug treatment, needing ongoing exploration to recognize brand-new, efficient therapeutic combinations. In this research study, researchers made use of high-throughput medicine testing to identify over 1900 compounds with activity versus at the very least 25 of the 47 MM cell lines examined. From these 1900 compounds, 3 61 million mixes were examined in silico, and pairs of substances with very correlated activity across the 47 cell lines and different devices of activity were chosen for further evaluation. Specifically, six (6 drug combinations worked at 1 minimizing over-expression of a vital healthy protein (MYC) that is commonly linked to the production of deadly cells and 2 enhanced expression of the p 16 healthy protein, which can aid the body suppress lump development. Furthermore, three (3 recognized drug mixes increased opportunities of survival and lowered the development of cancer cells, in part by lowering task of pathways involved in TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical findings recognize possibly valuable novel medication mixes for challenging to treat numerous myeloma.
New rank-based protein category technique to improve glioblastoma treatment
- Publication : 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 common kind of cancerous brain growths, vary significantly, restricting the ability to assess the organic elements that drive whether glioblastomas will respond to therapy. Nonetheless, data evaluation of the proteome– the whole collection of proteins that can be expressed by the tumor– can 1 deal non-invasive approaches of categorizing glioblastomas to help educate therapy and 2 recognize healthy protein biomarkers related to interventions to evaluate response to treatment. In this research study, scientists developed and tested a novel rank-based weighting technique (“RadWise”) for healthy protein features to help ML formulas focus on the one of the most appropriate factors that show post-therapy results. RadWise uses a much more efficient path to recognize the proteins and features that can be crucial targets for treatment of these hostile, deadly growths.
Recognizing liver cancer subtypes most likely to react to immunotherapy
- Magazine : Cell Reports Medication
- 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer cells is a rising root cause of cancer deaths in the United States. This research study examined variation in person results for a type of immunotherapy utilizing immune checkpoint preventions. Researchers noted that specific molecular subtypes of cancer, defined by 1 the aggression 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 help doctors identify whether a person’s special cancer cells is likely to respond to this type of treatment, implying they can apply much more targeted use of immunotherapy and boost possibility of success.
Applying algorithms to EHR information to presume pregnancy timing for even more exact maternal health research
- Magazine : JAMIA, Female’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.
- Recap : There are indicators that COVID- 19 can cause maternity issues, and expecting persons seem at higher risk for extra serious COVID- 19 infection. Evaluation of wellness record (EHR) information can assist offer even more understanding, yet because of information variances, it is typically hard to establish 1 pregnancy start and end dates and 2 gestational age of the child at birth. To assist, scientists adapted an existing algorithm for determining gestational age and pregnancy size that relies upon diagnostic codes and delivery dates. To raise the precision of this formula, the researchers layered on their own data-driven algorithms to specifically infer pregnancy beginning, maternity end, and site period throughout a maternity’s development while additionally addressing EHR information incongruity. This method can be accurately used to make the foundational reasoning of pregnancy timing and can be put on future pregnancy and pregnancy research on subjects such as unfavorable maternity results and mother’s mortality.
A novel approach for solving EHR information quality issues for clinical experiences
- 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 : Professional encounter information can be an abundant source for research, but it often varies substantially throughout service providers, centers, and establishments, making it tough to evenly examine. This incongruity is magnified when multisite digital wellness document (EHR) data is networked with each other in a main database. In this study, scientists established an unique, generalizable technique for settling medical experience information for analysis by combining relevant experiences into composite “macrovisits.” This technique assists manipulate and solve EHR experience information problems in a generalizable, repeatable means, permitting scientists to more conveniently unlock the potential of this abundant data for large research studies.
Improving transparency 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 process of examining and classifying a microorganism’s qualities, can assist scientists better recognize the differences between individuals and teams of people, and to recognize details traits that may be connected to specific illness or problems. Machine learning (ML) can help obtain phenotypes from information, however these are testing to share and reproduce because of their intricacy. Scientists in this research study developed and trained an ML-based phenotype to recognize clients highly possible to have Lengthy COVID, a progressively immediate public wellness factor to consider, and revealed applicability of this method for other settings. This is a success tale of how clear innovation and partnership can make phenotyping formulas a lot more available to a wide target market of scientists in informatics, minimizing duplicated work and providing them with a tool to get to insights faster, including for various other conditions.
Browsing challenges for multisite real world data (RWD) data sources
- Magazine : BMC Medical Study 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 : Dealing with big scale centralized EHR data sources such as N 3 C for research requires specialized expertise and mindful examination of data high quality and efficiency. This research study checks out the process of assessing data high quality in preparation for study, concentrating on medicine effectiveness research studies. Scientist identified numerous methods and best practices to much better characterize crucial research elements including direct exposure to treatment, baseline health and wellness comorbidities, and essential end results of passion. As large range, systematized real life databases end up being more common, this is a useful advance in helping scientists better navigate their unique information challenges while opening essential applications for drug development.
What’s Following for Wellness Study at Palantir
While 2023 saw important progression, the new year brings with it brand-new possibilities, along with a necessity to use the current technological improvements to the most crucial health concerns dealing with people, neighborhoods, and the public at large. For instance, in 2023, the united state Government declared its dedication to combating systemic diseases such as cancer, and also introduced a new health and wellness firm, the Advanced Study Projects Company for Wellness ( ARPA-H
Moreover, in 2024, Palantir is honored to be a market partner in the ingenious National AI Study Source (NAIRR) pilot program , created under the auspices of the National Scientific Research Structure (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Management’s Executive Order on Artificial Intelligence — Palantir will be dealing with its long-time partners at the National Institutes of Wellness (NIH) and N 3 C to sustain research beforehand safe, secure, and reliable AI, along with the application of AI to obstacles in healthcare.
In 2024, we’re delighted to deal with partners, brand-new and old, on issues of essential importance, using our knowings on information, devices, and study to assist make it possible for meaningful enhancements in health outcomes for all.
To learn more concerning our proceeding job throughout wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies