2023 in Evaluation
Wellness Study + Modern Technology: A Transition
Palantir Foundry has long been instrumental in accelerating the research study searchings for of our health and wellness and life scientific research companions, aiding attain unmatched insights, streamline data gain access to, boost information use, and facilitate sophisticated visualization and analysis of data sources– all while shielding the personal privacy and protection of the support information
In 2023, Foundry sustained over 50 peer-reviewed magazines in prestigious journals, covering a diverse variety of subjects– from hospital procedures, to oncological drugs, to finding out methods. The year prior, our software supported a document number of peer-reviewed publications, which we highlighted in a prior post
Our companions’ foundational financial investments in technical infrastructure during the height of the COVID- 19 pandemic has actually made the remarkable amount of publications possible.
Public and industrial health care partners have actually proactively scaled their investments in data sharing and study software program beyond COVID feedback to build an extra thorough information structure for biomedical research study. For instance, the N 3 C Enclave — which houses the data of 21 5 M people from throughout virtually 100 establishments– is being made use of daily by hundreds of researchers throughout agencies and companies. Offered the intricacy of accessing, arranging, and using ever-expanding biomedical information, the demand for similar study sources continues to climb.
In this blog post, we take a closer take a look at some noteworthy publications from 2023 and examine what exists ahead for software-backed study.
Emerging Technology and the Acceleration of Scientific Research
The effect of brand-new innovations on the scientific enterprise is increasing research-based outputs at a formerly difficult range. Arising modern technologies and advanced software are aiding develop more exact, arranged, and accessible data assets, which in turn are enabling researchers to deal with significantly complex scientific difficulties. In particular, as a modular, interoperable, and versatile system, Foundry has been used to sustain a varied range of scientific researches with one-of-a-kind research study functions, consisting of AI-assisted therapies identification, real-world proof generation, and extra.
In 2023, the sector has likewise seen an exponential development in passion around making use of Artificial Intelligence (AI)– and in particular, generative AI and huge language designs (LLM)– in the health and life scientific research domains. Alongside other core technological developments (e.g., around information high quality and use), the capacity for AI-enabled software to speed up clinical study is a lot more promising than ever. As an industrial leader in AI-enabled software program, Palantir has actually gone to the center of searching for responsible, safe and secure, and effective ways to use AI-enabled capabilities to sustain our companions across sectors in achieving their most important goals.
Over the previous year, Palantir software helped drive key elements of our companions’ study and we stand ready to continue working together with our companions in government, industry, and civil society to take on the most important difficulties in health and wellness and science ahead. In the next area, we offer concrete examples of just how the power of software can help advance clinical research study, highlighting some vital biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
In addition to a number of crucial cancer cells and COVID treatment studies, Palantir Factory likewise enabled brand-new findings in the wider field of study technique. Below, we highlight an example of some of one of the most impactful peer-reviewed write-ups published in 2023 that used Palantir Foundry to help drive their research study.
Identifying brand-new effective medicine 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 : Multiple myeloma (MM) is frequently resistant to medicine therapy, needing ongoing exploration to determine new, effective restorative combinations. In this research study, researchers used high-throughput medication screening to identify over 1900 compounds with activity versus a minimum of 25 of the 47 MM cell lines examined. From these 1900 compounds, 3 61 million mixes were evaluated in silico, and sets of compounds with extremely correlated task across the 47 cell lines and different systems of activity were picked for further analysis. Particularly, six (6 medicine mixes were effective at 1 decreasing over-expression of a key healthy protein (MYC) that is typically linked to the manufacturing of malignant cells and 2 enhanced expression of the p 16 healthy protein, which can help the body reduce lump growth. In addition, 3 (3 identified medication mixes raised chances of survival and lowered the development of cancer cells, in part by lowering task of paths associated with TGFβ/ SMAD signaling, which control the cell life process. These preclinical findings recognize potentially helpful novel medication mixes for difficult to deal with numerous myeloma.
New rank-based healthy protein category approach to improve glioblastoma therapy
- Publication : Cancers
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, the most typical kind of cancerous brain tumors, vary significantly, restricting the capacity to analyze the biological aspects that drive whether glioblastomas will certainly reply to treatment. However, information evaluation of the proteome– the entire collection of healthy proteins that can be expressed by the growth– can 1 offer non-invasive techniques of identifying glioblastomas to help inform treatment and 2 recognize healthy protein biomarkers connected with treatments to evaluate reaction to therapy. In this research study, researchers established and tested an unique rank-based weighting technique (“RadWise”) for protein features to aid ML formulas concentrate on the the most appropriate factors that indicate post-therapy outcomes. RadWise supplies a more reliable path to determine the proteins and features that can be essential targets for therapy of these aggressive, fatal growths.
Determining liver cancer cells subtypes likely to react 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 is an increasing root cause of cancer fatalities in the United States. This research investigated variant in patient results for a sort of immunotherapy using immune checkpoint preventions. Researchers noted that particular molecular subtypes of cancer cells, defined by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention therapy. Recognizing these molecular subtypes can assist physicians determine whether an individual’s special cancer cells is likely to react to this type of treatment, implying they can use a lot more targeted use immunotherapy and improve probability of success.
Applying formulas to EHR data to presume maternity timing for more exact maternal wellness research study
- Publication : JAMIA, Women’s Health Scandal sheet
- 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., Hill, E.L.
- Summary : There are indications that COVID- 19 can cause maternity problems, and pregnant individuals appear to be at greater danger for extra extreme COVID- 19 infection. Analysis of health record (EHR) data can help offer even more insight, however as a result of information inconsistencies, it is usually challenging to identify 1 pregnancy beginning and end days and 2 gestational age of the infant at birth. To help, researchers adapted an existing formula for figuring out gestational age and maternity length that relies on analysis codes and distribution dates. To enhance the accuracy of this algorithm, the researchers layered on their own data-driven algorithms to exactly presume maternity start, maternity end, and spots timespan throughout a pregnancy’s development while additionally dealing with EHR data variance. This method can be reliably utilized to make the fundamental inference of maternity timing and can be put on future pregnancy and maternal study on subjects such as adverse pregnancy outcomes and maternal mortality.
A novel approach for dealing with EHR data top quality problems 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 study, however it usually differs considerably throughout companies, centers, and establishments, making it difficult to evenly analyze. This incongruity is amplified when multisite electronic health document (EHR) information is networked together in a central data source. In this study, researchers developed an unique, generalizable method for settling medical experience information for analysis by combining relevant experiences right into composite “macrovisits.” This methodology helps adjust and resolve EHR experience data problems in a generalizable, repeatable method, enabling scientists to a lot more quickly open the capacity of this rich information for massive studies.
Improving openness in phenotyping for Long COVID research and past
- Publication : Journal of the American Medical Informatics Association
- 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 Recuperate Consortia
- Summary : Phenotyping, the process of examining and classifying an organism’s features, can aid scientists much better understand the differences between people and groups of individuals, and to identify particular characteristics that may be connected to certain conditions or conditions. Artificial intelligence (ML) can assist acquire phenotypes from data, yet these are testing to share and replicate because of their intricacy. Researchers in this research created and trained an ML-based phenotype to identify people extremely likely to have Long COVID, a progressively urgent public health and wellness factor to consider, and showed applicability of this technique for various other settings. This is a success tale of exactly how transparent innovation and partnership can make phenotyping algorithms much more accessible to a broad target market of scientists in informatics, lowering copied work and giving them with a device to reach understandings quicker, consisting of for various other illness.
Browsing difficulties for multisite real world data (RWD) databases
- Magazine : BMC Medical 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
- Recap : Dealing with large scale streamlined EHR databases such as N 3 C for research needs specialized understanding and cautious examination of data quality and efficiency. This research takes a look at the procedure of examining information quality to prepare for research, concentrating on medicine efficiency research studies. Scientist recognized a number of approaches and finest methods to better define vital study elements consisting of exposure to therapy, standard wellness comorbidities, and vital end results of interest. As large range, streamlined real world databases become more widespread, this is a handy progression in assisting scientists better navigate their unique data challenges while unlocking vital applications for medicine growth.
What’s Next for Health And Wellness Study at Palantir
While 2023 saw vital progress, the new year brings with it brand-new opportunities, as well as a necessity to apply the most up to date technical innovations to one of the most important health and wellness concerns dealing with individuals, areas, and the general public at big. For instance, in 2023, the united state Government declared its dedication to combating systemic conditions such as cancer, and also launched a brand-new health company, the Advanced Research Projects Company for Health ( ARPA-H
Furthermore, in 2024, Palantir is honored to be a market companion in the innovative National AI Research Source (NAIRR) pilot program , produced under the auspices of the National Science Foundation (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Administration’s Exec Order on Expert System — Palantir will be collaborating with its veteran partners at the National Institutes of Wellness (NIH) and N 3 C to sustain research study in advancing risk-free, secure, and trustworthy AI, along with the application of AI to obstacles in healthcare.
In 2024, we’re delighted to deal with companions, new and old, on problems of important value, using our knowings on data, devices, and study to aid enable significant improvements in health and wellness end results for all.
To get more information regarding our proceeding work across wellness and life scientific researches, check out https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies