2023 in Testimonial
Health And Wellness Research + Innovation: A Juncture
Palantir Foundry has actually long been instrumental in accelerating the study searchings for of our health and life science companions, helping attain unmatched insights, enhance information gain access to, enhance information functionality, and promote innovative visualization and analysis of information resources– all while securing the privacy and safety of the backing information
In 2023, Foundry sustained over 50 peer-reviewed publications in esteemed journals, covering a diverse number of subjects– from medical facility operations, to oncological medications, to learning modalities. The year prior, our software supported a record variety of peer-reviewed magazines, which we highlighted in a prior post
Our partners’ fundamental financial investments in technological infrastructure during the top of the COVID- 19 pandemic has made the outstanding amount of magazines feasible.
Public and business health care companions have actually proactively scaled their investments in data sharing and research study software beyond COVID reaction to build a much more detailed data foundation for biomedical research study. As an example, the N 3 C Enclave — which houses the information of 21 5 M individuals from throughout practically 100 organizations– is being utilized everyday by countless scientists across companies and companies. Given the intricacy of accessing, arranging, and taking advantage of ever-expanding biomedical information, the demand for comparable research sources remains to climb.
In this post, we take a closer take a look at some significant magazines from 2023 and examine what exists ahead for software-backed study.
Emerging Innovation and the Acceleration of Scientific Study
The impact of new technologies on the clinical enterprise is increasing research-based results at a previously impossible range. Arising innovations and advanced software are helping develop a lot more exact, arranged, and available information properties, which subsequently are enabling scientists to tackle progressively complex clinical obstacles. In particular, as a modular, interoperable, and adaptable system, Factory has actually been used to support a diverse series of clinical researches with special research functions, including AI-assisted therapeutics identification, real-world proof generation, and much more.
In 2023, the sector has likewise seen a rapid development in passion around using Artificial Intelligence (AI)– and in particular, generative AI and big language models (LLM)– in the health and life scientific research domains. Together with other core technical developments (e.g., around data top quality and usability), the potential for AI-enabled software application to increase scientific research is much more appealing than ever before. As a commercial leader in AI-enabled software, Palantir has gone to the center of finding responsible, safe, and effective ways to use AI-enabled capacities to sustain our partners across markets in accomplishing their most important goals.
Over the past year, Palantir software aided drive vital parts of our companions’ research and we stand ready to continue working together with our companions in federal government, market, and civil culture to deal with the most pressing challenges in wellness and science ahead. In the following section, we provide concrete examples of just how the power of software can aid advance scientific research study, highlighting some crucial biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of vital cancer cells and COVID therapy researches, Palantir Shop likewise enabled new findings in the wider field of research study methodology. Listed below, we highlight a sample of a few of one of the most impactful peer-reviewed articles released in 2023 that used Palantir Factory to assist drive their research.
Identifying new efficient medication 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.
- Summary : Numerous myeloma (MM) is regularly resistant to drug therapy, needing ongoing expedition to determine brand-new, efficient therapeutic combinations. In this research study, scientists used high-throughput medicine screening to determine over 1900 compounds with activity against at the very least 25 of the 47 MM cell lines evaluated. From these 1900 compounds, 3 61 million combinations were assessed in silico, and sets of compounds with very associated task throughout the 47 cell lines and different devices of action were picked for additional evaluation. Particularly, six (6 medication mixes worked at 1 decreasing over-expression of a vital healthy protein (MYC) that is usually linked to the production of deadly cells and 2 raised expression of the p 16 protein, which can help the body subdue lump development. Additionally, three (3 determined medicine mixes raised opportunities of survival and reduced the growth of cancer cells, partially by decreasing task of pathways associated with TGFβ/ SMAD signaling, which manage the cell life process. These preclinical searchings for recognize possibly useful unique drug mixes for difficult to deal with multiple myeloma.
New rank-based protein classification approach to improve glioblastoma treatment
- Publication : 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 typical sort of cancerous brain lumps, vary considerably, restricting the capacity to examine the biological variables that drive whether glioblastomas will certainly respond to therapy. However, data analysis of the proteome– the entire collection of proteins that can be revealed by the growth– can 1 offer non-invasive methods of identifying glioblastomas to assist educate treatment and 2 identify healthy protein biomarkers associated with treatments to review response to therapy. In this research, scientists established and tested an unique rank-based weighting approach (“RadWise”) for protein features to aid ML algorithms concentrate on the one of the most appropriate aspects that suggest post-therapy outcomes. RadWise uses an extra effective path to determine the proteins and functions that can be essential targets for therapy of these aggressive, deadly tumors.
Recognizing liver cancer cells subtypes most likely to react to immunotherapy
- Publication : 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 is a climbing source of cancer deaths in the United States. This study investigated variation in client end results for a type of immunotherapy using immune checkpoint preventions. Researchers noted that particular molecular subtypes of cancer cells, specified by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention treatment. Recognizing these molecular subtypes can help medical professionals recognize whether a patient’s special cancer is likely to respond to this type of intervention, indicating they can apply more targeted use immunotherapy and improve probability of success.
Applying algorithms to EHR data to presume pregnancy timing for even more precise mother’s health and wellness research study
- Publication : JAMIA, Women’s 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 create pregnancy complications, and expectant individuals seem at higher danger for a lot more severe COVID- 19 infection. Evaluation of wellness record (EHR) data can help give more insight, however due to information disparities, it is typically challenging to determine 1 maternity beginning and end days and 2 gestational age of the infant at birth. To assist, scientists adjusted an existing formula for determining gestational age and maternity length that relies on analysis codes and distribution days. To enhance the accuracy of this formula, the scientists layered on their own data-driven algorithms to specifically presume maternity start, pregnancy end, and site amount of time throughout a maternity’s progression while additionally addressing EHR data inconsistency. This approach can be reliably utilized to make the foundational reasoning of pregnancy timing and can be related to future pregnancy and maternity study on topics such as adverse pregnancy end results and maternal death.
An unique method for settling EHR information high quality issues for clinical 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.
- Summary : Medical encounter information can be a rich resource for research study, but it commonly varies greatly throughout providers, facilities, and organizations, making it difficult to consistently assess. This disparity is amplified when multisite digital health and wellness document (EHR) information is networked together in a main database. In this research study, researchers created an unique, generalizable method for resolving professional encounter data for analysis by combining relevant experiences into composite “macrovisits.” This methodology assists manipulate and deal with EHR encounter data concerns in a generalizable, repeatable means, enabling researchers to more easily open the potential of this rich information for massive studies.
Improving openness in phenotyping for Long COVID research and past
- 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 Recoup Consortia
- Recap : Phenotyping, the procedure of reviewing and categorizing an organism’s attributes, can assist scientists better recognize the distinctions between individuals and groups of individuals, and to identify certain characteristics that may be linked to certain illness or conditions. Artificial intelligence (ML) can assist obtain phenotypes from information, yet these are challenging to share and replicate due to their intricacy. Researchers in this study developed and trained an ML-based phenotype to recognize individuals highly probable to have Lengthy COVID, an increasingly urgent public health and wellness factor to consider, and showed applicability of this approach for other settings. This is a success tale of just how transparent technology and partnership can make phenotyping algorithms a lot more available to a broad target market of scientists in informatics, decreasing duplicated work and providing them with a tool to get to insights quicker, including for other diseases.
Navigating obstacles for multisite real world information (RWD) databases
- Magazine : BMC Medical Research Study Approach
- Writers : Sidky, H., Youthful, 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 : Collaborating with big scale centralized EHR databases such as N 3 C for study needs specialized expertise and mindful evaluation of information top quality and efficiency. This research takes a look at the process of evaluating information quality in preparation for research study, focusing on medicine effectiveness research studies. Scientist recognized several techniques and finest techniques to better characterize important research aspects including exposure to treatment, baseline health comorbidities, and essential results of passion. As huge scale, systematized real life data sources come to be extra widespread, this is a helpful advance in assisting researchers more effectively navigate their one-of-a-kind information difficulties while opening essential applications for medicine growth.
What’s Following for Health Study at Palantir
While 2023 saw important progress, the new year brings with it new opportunities, as well as a necessity to apply the latest technical improvements to the most vital wellness concerns dealing with people, neighborhoods, and the public at large. For example, in 2023, the U.S. Federal government declared its commitment to combating systemic conditions such as cancer, and even launched a new health company, the Advanced Research Projects Agency for Wellness ( ARPA-H
Moreover, in 2024, Palantir is honored to be an industry companion in the innovative National AI Study Source (NAIRR) pilot program , produced under the auspices of the National Science Foundation (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was guided by the Biden Administration’s Executive Order on Artificial Intelligence — Palantir will certainly be collaborating with its long-time companions at the National Institutes of Health (NIH) and N 3 C to support research in advancing risk-free, safe, and credible AI, in addition to the application of AI to difficulties in medical care.
In 2024, we’re delighted to work with partners, brand-new and old, on problems of essential significance, applying our knowings on data, tools, and research to aid allow meaningful improvements in wellness results for all.
For more information concerning our proceeding job across wellness and life scientific researches, see https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies