2023 in Testimonial
Wellness Research + Technology: A Juncture
Palantir Shop has actually long contributed in accelerating the research searchings for of our health and life scientific research companions, helping accomplish unprecedented understandings, simplify data accessibility, boost data functionality, and help with sophisticated visualization and analysis of data resources– all while securing the privacy and safety of the backing information
In 2023, Shop supported over 50 peer-reviewed publications in well-regarded journals, covering a diverse variety of topics– from hospital procedures, to oncological medications, to discovering techniques. The year prior, our software supported a record number of peer-reviewed publications, which we highlighted in a prior blog post
Our partners’ fundamental investments in technological facilities during the optimal of the COVID- 19 pandemic has actually made the outstanding quantity of publications possible.
Public and industrial healthcare companions have proactively scaled their investments in data sharing and research software past COVID feedback to develop an extra thorough information foundation for biomedical study. As an example, the N 3 C Enclave — which houses the information of 21 5 M individuals from across practically 100 organizations– is being utilized day-to-day by thousands of researchers throughout companies and organizations. Offered the intricacy of accessing, organizing, and utilizing ever-expanding biomedical data, the need for comparable research study resources continues to climb.
In this post, we take a closer check out some significant publications from 2023 and analyze what lies ahead for software-backed study.
Emerging Modern Technology and the Velocity of Scientific Research
The impact of brand-new innovations on the scientific venture is increasing research-based outcomes at a formerly difficult range. Arising technologies and advanced software application are assisting create a lot more exact, organized, and accessible information properties, which subsequently are allowing scientists to tackle progressively complex clinical obstacles. Specifically, as a modular, interoperable, and flexible platform, Shop has actually been made use of to sustain a varied range of clinical studies with unique research study functions, consisting of AI-assisted therapeutics identification, real-world proof generation, and more.
In 2023, the sector has additionally seen an exponential growth in passion around using Expert system (AI)– and in particular, generative AI and large language versions (LLM)– in the health and life scientific research domain names. Together with various other core technological advancements (e.g., around information top quality and functionality), the potential for AI-enabled software to increase scientific study is a lot more encouraging than ever before. As an industrial leader in AI-enabled software, Palantir has actually been at the forefront of searching for responsible, safe and secure, and efficient ways to apply AI-enabled capabilities to support our partners across industries in attaining their essential missions.
Over the previous year, Palantir software application assisted drive key components of our companions’ study and we stand ready to proceed interacting with our partners in government, market, and civil culture to deal with one of the most pressing difficulties in health and wellness and science ahead. In the following section, we offer concrete instances of just how the power of software program can aid breakthrough scientific study, highlighting some crucial biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Shop
In addition to a variety of crucial cancer and COVID therapy studies, Palantir Foundry also enabled new findings in the more comprehensive field of research study method. Below, we highlight a sample of a few of one of the most impactful peer-reviewed short articles published in 2023 that used Palantir Foundry to assist drive their research study.
Identifying brand-new reliable medication mixes for multiple 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.
- Recap : Several myeloma (MM) is often immune to medication treatment, requiring continued expedition to recognize brand-new, effective therapeutic mixes. In this research study, researchers used high-throughput medication testing to determine over 1900 substances with activity versus at the very least 25 of the 47 MM cell lines evaluated. From these 1900 compounds, 3 61 million combinations were evaluated in silico, and pairs of substances with highly correlated activity throughout the 47 cell lines and different devices of activity were picked for further evaluation. Especially, six (6 medicine mixes were effective at 1 decreasing over-expression of a crucial protein (MYC) that is typically linked to the production of malignant cells and 2 raised expression of the p 16 healthy protein, which can aid the body suppress tumor development. In addition, three (3 identified medicine combinations enhanced possibilities of survival and decreased the development of cancer cells, partially by decreasing task of paths associated with TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical findings determine potentially useful novel medication combinations for tough to treat several myeloma.
New rank-based healthy protein category approach to improve glioblastoma therapy
- Publication : Cancers cells
- Writers : 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 kind of cancerous brain lumps, vary considerably, restricting the ability to evaluate the biological elements that drive whether glioblastomas will certainly reply to therapy. Nevertheless, information analysis of the proteome– the entire set of healthy proteins that can be expressed by the tumor– can 1 deal non-invasive techniques of identifying glioblastomas to assist educate therapy and 2 recognize protein biomarkers related to treatments to assess action to treatment. In this study, scientists developed and evaluated an unique rank-based weighting technique (“RadWise”) for protein features to help ML formulas concentrate on the the most pertinent elements that indicate post-therapy end results. RadWise offers a much more efficient path to identify the healthy proteins and functions that can be crucial targets for treatment of these aggressive, fatal tumors.
Determining liver cancer subtypes most likely to reply to immunotherapy
- Magazine : Cell Records 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.
- Summary : Liver cancer cells is a rising source of cancer cells fatalities in the United States. This research study checked out variation in individual results for a type of immunotherapy utilizing immune checkpoint preventions. Scientist noted that particular molecular subtypes of cancer cells, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were linked to greater survival rates with immune checkpoint inhibitor therapy. Identifying these molecular subtypes can aid doctors recognize whether a patient’s special cancer cells is most likely to react to this kind of treatment, implying they can apply a lot more targeted use of immunotherapy and improve chance of success.
Using formulas to EHR data to infer maternity timing for even more precise maternal health research
- Publication : JAMIA, Women’s Wellness 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.
- Summary : There are indications that COVID- 19 can cause maternity problems, and expectant individuals seem at higher danger for extra extreme COVID- 19 infection. Evaluation of wellness record (EHR) information can assist give more insight, however because of information inconsistencies, it is often hard to determine 1 maternity beginning and end dates and 2 gestational age of the baby at birth. To help, scientists adapted an existing formula for identifying gestational age and pregnancy size that counts on diagnostic codes and delivery dates. To raise the precision of this formula, the researchers layered on their own data-driven algorithms to precisely infer maternity begin, pregnancy end, and landmark period throughout a maternity’s development while likewise dealing with EHR data variance. This technique can be reliably used to make the foundational reasoning of maternity timing and can be put on future pregnancy and pregnancy study on topics such as negative pregnancy outcomes and mother’s death.
An unique technique for fixing EHR information quality concerns for professional 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 : Scientific encounter data can be an abundant resource for research study, however it frequently differs substantially across companies, centers, and organizations, making it challenging to uniformly assess. This disparity is amplified when multisite electronic wellness document (EHR) data is networked with each other in a central database. In this study, scientists established an unique, generalizable approach for settling medical experience information for analysis by incorporating relevant experiences into composite “macrovisits.” This method helps adjust and deal with EHR encounter data problems in a generalizable, repeatable way, allowing scientists to much more quickly unlock the potential of this rich data for large-scale researches.
Improving transparency in phenotyping for Long COVID research and past
- 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 RECOVER Consortia
- Recap : Phenotyping, the procedure of assessing and classifying a microorganism’s features, can help researchers much better comprehend the distinctions in between people and teams of people, and to recognize certain qualities that might be connected to particular illness or problems. Machine learning (ML) can help acquire phenotypes from information, however these are testing to share and replicate as a result of their complexity. Scientists in this study developed and educated an ML-based phenotype to recognize clients highly likely to have Long COVID, an increasingly immediate public health and wellness consideration, and revealed applicability of this method for other settings. This is a success tale of just how transparent modern technology and collaboration can make phenotyping formulas extra available to a broad audience of researchers in informatics, reducing copied work and providing them with a device to reach insights much faster, including for various other conditions.
Browsing obstacles for multisite real world information (RWD) databases
- Publication : BMC Medical Research Study Method
- Writers : 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 : Collaborating with huge range systematized EHR data sources such as N 3 C for research requires specialized understanding and careful evaluation of data top quality and efficiency. This study takes a look at the process of assessing information high quality in preparation for study, concentrating on medicine effectiveness research studies. Scientist determined several methods and best practices to better identify crucial research study elements including direct exposure to treatment, standard wellness comorbidities, and key results of interest. As big scale, centralized real life databases become much more widespread, this is a handy advance in assisting researchers better navigate their distinct information difficulties while unlocking critical applications for drug development.
What’s Next for Health And Wellness Research Study at Palantir
While 2023 saw important development, the new year brings with it brand-new opportunities, in addition to a necessity to apply the most up to date technological innovations to one of the most crucial health and wellness concerns facing people, areas, and the general public at big. For example, in 2023, the united state Federal government reaffirmed its dedication to combating systemic conditions such as cancer cells, and even introduced a brand-new health firm, the Advanced Research Projects Company for Wellness ( ARPA-H
Furthermore, in 2024, Palantir is happy to be a sector companion in the ingenious National AI Research Source (NAIRR) pilot program , created under the auspices of the National Scientific Research 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 dealing with its veteran companions at the National Institutes of Health (NIH) and N 3 C to sustain research study ahead of time risk-free, protected, and trustworthy AI, along with the application of AI to challenges in healthcare.
In 2024, we’re excited to work with partners, new and old, on problems of crucial importance, using our understandings on data, tools, and research study to aid enable purposeful renovations in health and wellness results for all.
To get more information about our proceeding job across wellness and life sciences, browse through https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies