2023 in Testimonial
Health And Wellness Research Study + Technology: A Juncture
Palantir Factory has long contributed in accelerating the study searchings for of our wellness and life scientific research companions, assisting attain unmatched understandings, improve information accessibility, improve data functionality, and promote innovative visualization and analysis of data resources– all while safeguarding the privacy and safety of the support information
In 2023, Foundry sustained over 50 peer-reviewed magazines in renowned journals, covering a varied number of topics– from healthcare facility procedures, to oncological medicines, to finding out techniques. The year prior, our software supported a record number of peer-reviewed publications, which we highlighted in a previous article
Our companions’ fundamental investments in technological facilities during the top of the COVID- 19 pandemic has actually made the remarkable quantity of publications possible.
Public and industrial health care companions have proactively scaled their financial investments in data sharing and research software program beyond COVID response to build an extra thorough information foundation for biomedical research. For example, the N 3 C Enclave — which houses the data of 21 5 M clients from throughout nearly 100 institutions– is being used day-to-day by hundreds of scientists throughout agencies and organizations. Offered the intricacy of accessing, arranging, and utilizing ever-expanding biomedical data, the demand for similar research study resources continues to climb.
In this article, we take a closer consider some notable magazines from 2023 and analyze what lies in advance for software-backed research.
Arising Technology and the Velocity of Scientific Research Study
The impact of new modern technologies on the clinical business is speeding up research-based outcomes at a formerly difficult scale. Arising modern technologies and progressed software program are helping create extra precise, arranged, and obtainable information possessions, which subsequently are enabling researchers to tackle progressively complex scientific obstacles. In particular, as a modular, interoperable, and flexible system, Shop has actually been utilized to sustain a varied variety of scientific studies with special research features, consisting of AI-assisted therapies recognition, real-world evidence generation, and more.
In 2023, the market has likewise seen an exponential growth in passion around making use of Artificial Intelligence (AI)– and in particular, generative AI and huge language models (LLM)– in the wellness and life scientific research domain names. Together with other core technological improvements (e.g., around information quality and usability), the potential for AI-enabled software application to accelerate scientific research is a lot more appealing than ever before. As a commercial leader in AI-enabled software program, Palantir has gone to the forefront of finding accountable, protected, and efficient methods to use AI-enabled capabilities to support our companions throughout markets in achieving their most important goals.
Over the past year, Palantir software helped drive crucial elements of our partners’ study and we stand ready to continue collaborating with our partners in federal government, market, and civil society to tackle one of the most important difficulties in health and science in advance. In the next area, we provide concrete examples of how the power of software program can help advancement scientific research, highlighting some essential biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Factory
Along with a number of essential cancer and COVID therapy research studies, Palantir Foundry also enabled brand-new findings in the wider field of research study approach. Below, we highlight a sample of some of the most impactful peer-reviewed short articles published in 2023 that utilized Palantir Factory to help drive their research.
Identifying new efficient medication mixes for numerous myeloma
- Publication : Cancer cells Letters
- Writers : 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 : Multiple myeloma (MM) is regularly resistant to medicine treatment, requiring ongoing expedition to recognize new, efficient healing combinations. In this study, scientists utilized high-throughput medicine testing to identify over 1900 compounds with activity against a minimum of 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million mixes were evaluated in silico, and sets of substances with very correlated task across the 47 cell lines and different systems of action were selected for additional analysis. Particularly, six (6 medication combinations were effective at 1 minimizing over-expression of a vital protein (MYC) that is typically linked to the manufacturing of malignant cells and 2 enhanced expression of the p 16 healthy protein, which can assist the body reduce tumor growth. Additionally, three (3 recognized medication combinations increased possibilities of survival and reduced the growth of cancer cells, partially by reducing activity of paths associated with TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for recognize possibly valuable novel drug combinations for difficult to treat numerous myeloma.
New rank-based healthy protein category approach to enhance glioblastoma treatment
- Magazine : Cancers
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, one of the most typical type of malignant mind tumors, vary substantially, limiting the capability to evaluate the biological aspects that drive whether glioblastomas will certainly react to treatment. Nonetheless, information analysis of the proteome– the whole set of healthy proteins that can be shared by the tumor– can 1 deal non-invasive methods of classifying glioblastomas to aid inform therapy and 2 determine protein biomarkers connected with treatments to assess feedback to therapy. In this research study, researchers created and examined an unique rank-based weighting technique (“RadWise”) for protein includes to assist ML formulas focus on the one of the most relevant aspects that show post-therapy results. RadWise offers a more efficient path to identify the healthy proteins and functions that can be crucial targets for treatment of these hostile, fatal tumors.
Recognizing liver cancer cells subtypes most likely to respond to immunotherapy
- Magazine : Cell Records Medication
- 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer cells is an increasing source of cancer cells fatalities in the US. This research study examined variation in client end results for a kind of immunotherapy utilizing immune checkpoint inhibitors. Researchers noted that specific molecular subtypes of cancer, specified by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival rates with immune checkpoint prevention therapy. Identifying these molecular subtypes can aid doctors identify whether a client’s distinct cancer is likely to react to this sort of intervention, meaning they can apply much more targeted use immunotherapy and boost possibility of success.
Using formulas to EHR information to infer maternity timing for more precise mother’s health research
- Magazine : JAMIA, Women’s Health and wellness 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., Hillside, E.L.
- Recap : There are indicators that COVID- 19 can trigger pregnancy complications, and expectant persons appear to be at higher threat for extra serious COVID- 19 infection. Evaluation of wellness record (EHR) information can help provide more insight, but due to information variances, it is usually difficult to identify 1 maternity beginning and end dates and 2 gestational age of the child at birth. To help, researchers adjusted an existing formula for figuring out gestational age and maternity length that relies upon analysis codes and delivery dates. To raise the accuracy of this formula, the scientists layered on their own data-driven algorithms to precisely infer maternity start, pregnancy end, and landmark amount of time throughout a maternity’s progression while also resolving EHR data variance. This approach can be dependably utilized to make the foundational inference of maternity timing and can be put on future pregnancy and pregnancy research study on topics such as unfavorable maternity end results and maternal death.
A novel approach for resolving EHR data quality concerns for scientific experiences
- Magazine : 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.
- Summary : Scientific encounter data can be an abundant resource for research, however it usually varies considerably across providers, centers, and organizations, making it hard to uniformly analyze. This disparity is amplified when multisite electronic health and wellness document (EHR) data is networked together in a main data source. In this research study, researchers established an unique, generalizable approach for resolving medical experience information for evaluation by incorporating relevant encounters right into composite “macrovisits.” This technique aids manipulate and fix EHR encounter data problems in a generalizable, repeatable method, enabling researchers to a lot more conveniently unlock the possibility of this abundant data for large-scale research studies.
Improving transparency in phenotyping for Long COVID study and beyond
- 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 categorizing an organism’s characteristics, can assist scientists better understand the distinctions in between people and teams of individuals, and to determine details traits that might be connected to certain illness or problems. Artificial intelligence (ML) can assist derive phenotypes from data, but these are testing to share and replicate as a result of their intricacy. Scientists in this research study designed and educated an ML-based phenotype to identify clients extremely likely to have Long COVID, a significantly urgent public health and wellness consideration, and showed applicability of this method for various other settings. This is a success tale of how clear technology and collaboration can make phenotyping formulas a lot more obtainable to a wide target market of researchers in informatics, lowering copied job and giving them with a device to get to insights quicker, consisting of for other conditions.
Browsing difficulties for multisite real world information (RWD) data sources
- Magazine : BMC Medical Research Study Method
- 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 large scale centralized EHR databases such as N 3 C for research calls for specialized understanding and cautious assessment of data quality and efficiency. This study examines the procedure of analyzing data high quality in preparation for study, concentrating on drug effectiveness studies. Researchers determined several techniques and finest methods to better define essential research elements consisting of exposure to treatment, baseline wellness comorbidities, and essential end results of interest. As huge scale, centralized real world databases end up being much more common, this is a practical advance in helping scientists better browse their unique information difficulties while unlocking vital applications for medicine growth.
What’s Following for Health And Wellness Study at Palantir
While 2023 saw important development, the brand-new year brings with it new possibilities, in addition to an urgency to use the most up to date technical innovations to the most essential wellness issues facing people, neighborhoods, and the public at big. For example, in 2023, the U.S. Government reaffirmed its commitment to combating systemic diseases such as cancer cells, and also launched a brand-new health and wellness firm, the Advanced Study Projects Agency for Health ( ARPA-H
Additionally, in 2024, Palantir is happy to be a sector partner in the ingenious National AI Research 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 routed by the Biden Management’s Exec Order on Expert System — Palantir will certainly be collaborating with its long-time partners at the National Institutes of Health And Wellness (NIH) and N 3 C to support research ahead of time risk-free, safe, and reliable AI, along with the application of AI to obstacles in health care.
In 2024, we’re thrilled to work with companions, new and old, on problems of critical value, using our discoverings on data, devices, and research to aid allow significant renovations in health and wellness results for all.
To read more about our proceeding job throughout health and wellness and life scientific researches, check out https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies