2023 in Testimonial
Health And Wellness Study + Technology: A Pivotal Moment
Palantir Shop has long contributed in speeding up the research study searchings for of our wellness and life scientific research partners, aiding accomplish unprecedented insights, simplify data gain access to, improve data functionality, and help with advanced visualization and analysis of information resources– all while shielding the personal privacy and safety of the backing information
In 2023, Shop sustained over 50 peer-reviewed publications in esteemed journals, covering a diverse number of subjects– from medical facility operations, to oncological medicines, to learning modalities. The year prior, our software supported a record variety of peer-reviewed publications, which we highlighted in a prior post
Our companions’ fundamental financial investments in technical framework during the peak of the COVID- 19 pandemic has actually made the remarkable amount of magazines possible.
Public and commercial health care partners have proactively scaled their financial investments in information sharing and study software program past COVID action to develop a more thorough data structure for biomedical research. As an example, the N 3 C Enclave — which houses the data of 21 5 M clients from throughout nearly 100 institutions– is being utilized everyday by thousands of researchers across companies and organizations. Given the complexity of accessing, organizing, and using ever-expanding biomedical data, the demand for comparable research study resources continues to rise.
In this blog post, we take a closer look at some significant magazines from 2023 and analyze what lies in advance for software-backed research study.
Arising Technology and the Acceleration of Scientific Research
The impact of new modern technologies on the scientific business is increasing research-based results at a formerly difficult range. Arising technologies and advanced software are assisting create extra specific, arranged, and accessible information possessions, which in turn are allowing researchers to take on increasingly intricate clinical difficulties. In particular, as a modular, interoperable, and versatile system, Factory has been utilized to support a diverse series of clinical researches with one-of-a-kind research study functions, including AI-assisted therapeutics recognition, real-world evidence generation, and extra.
In 2023, the market has actually also seen an exponential growth in passion around making use of Artificial Intelligence (AI)– and specifically, generative AI and large language versions (LLM)– in the health and life science domain names. Alongside various other core technological improvements (e.g., around information quality and functionality), the capacity for AI-enabled software to increase clinical study is more encouraging than ever. As a commercial leader in AI-enabled software application, Palantir has been at the center of searching for accountable, protected, and reliable methods to apply AI-enabled capacities to sustain our companions throughout sectors in achieving their most important objectives.
Over the past year, Palantir software aided drive vital components of our partners’ research study and we stand all set to continue collaborating with our companions in government, industry, and civil culture to tackle the most important obstacles in wellness and scientific research in advance. In the next section, we offer concrete instances of exactly how the power of software can aid development clinical study, highlighting some crucial biomedical publications powered by Factory in 2023
2023 Publications Powered by Palantir Factory
Along with a variety of important cancer cells and COVID treatment researches, Palantir Factory additionally enabled new findings in the wider field of study approach. Below, we highlight an example of several of one of the most impactful peer-reviewed posts released in 2023 that made use of Palantir Factory to aid drive their research study.
Determining brand-new effective medication combinations for several 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.
- Recap : Numerous myeloma (MM) is regularly immune to medicine treatment, needing ongoing expedition to determine brand-new, efficient healing mixes. In this research, scientists made use of high-throughput drug screening to recognize over 1900 substances with task versus a minimum of 25 of the 47 MM cell lines checked. From these 1900 compounds, 3 61 million combinations were reviewed in silico, and pairs of substances with extremely correlated task throughout the 47 cell lines and various mechanisms of activity were picked for additional analysis. Specifically, six (6 medication combinations were effective at 1 lowering over-expression of an essential protein (MYC) that is usually connected to the manufacturing of malignant cells and 2 increased expression of the p 16 protein, which can assist the body reduce lump development. Additionally, three (3 recognized medicine combinations enhanced chances of survival and reduced the development of cancer cells, in part by decreasing activity of paths involved in TGFβ/ SMAD signaling, which manage the cell life cycle. These preclinical searchings for determine possibly valuable unique medicine combinations for tough to deal with several myeloma.
New rank-based protein category technique to improve glioblastoma treatment
- Publication : 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 usual sort of cancerous mind lumps, vary considerably, limiting the capacity to assess the organic factors that drive whether glioblastomas will reply to treatment. Nonetheless, information analysis of the proteome– the whole set of healthy proteins that can be expressed by the lump– can 1 offer non-invasive approaches of categorizing glioblastomas to help educate treatment and 2 recognize healthy protein biomarkers related to interventions to evaluate action to treatment. In this research study, scientists created and examined a novel rank-based weighting technique (“RadWise”) for healthy protein includes to help ML formulas concentrate on the the most pertinent factors that suggest post-therapy outcomes. RadWise offers an extra reliable pathway to determine the healthy proteins and functions that can be key targets for treatment of these hostile, fatal lumps.
Identifying liver cancer cells subtypes most likely to reply to immunotherapy
- Publication : 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., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is a climbing reason for cancer fatalities in the United States. This research explored variant in individual end results for a sort of immunotherapy using immune checkpoint inhibitors. Scientist kept in mind that specific molecular subtypes of cancer, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival rates with immune checkpoint prevention treatment. Recognizing these molecular subtypes can assist doctors recognize whether a client’s special cancer cells is likely to respond to this kind of intervention, meaning they can use a lot more targeted use immunotherapy and enhance probability of success.
Using formulas to EHR information to presume maternity timing for even more precise maternal health research
- Magazine : JAMIA, Female’s Health and 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., Hill, E.L.
- Summary : There are indicators that COVID- 19 can trigger maternity difficulties, and expectant individuals seem at higher threat for extra extreme COVID- 19 infection. Evaluation of health document (EHR) data can assist give even more insight, yet due to information inconsistencies, it is usually difficult to establish 1 maternity start and end dates and 2 gestational age of the baby at birth. To help, scientists adapted an existing formula for identifying gestational age and maternity size that counts on analysis codes and distribution dates. To enhance the accuracy of this formula, the researchers layered on their own data-driven formulas to exactly infer maternity beginning, maternity end, and site amount of time throughout a maternity’s progression while additionally dealing with EHR information inconsistency. This method can be accurately used to make the foundational inference of pregnancy timing and can be applied to future pregnancy and maternity study on subjects such as unfavorable pregnancy end results and mother’s death.
A novel technique for settling EHR information top quality concerns 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.
- Recap : Medical encounter information can be a rich source for research study, yet it usually differs significantly across service providers, facilities, and institutions, making it hard to evenly evaluate. This incongruity is amplified when multisite electronic health and wellness record (EHR) information is networked together in a central database. In this research, researchers created a novel, generalizable technique for settling scientific experience information for analysis by incorporating associated experiences right into composite “macrovisits.” This approach assists manipulate and fix EHR encounter information concerns in a generalizable, repeatable means, allowing scientists to much more quickly unlock the possibility of this rich data for large-scale studies.
Improving openness in phenotyping for Long COVID research and beyond
- Publication : 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 process of assessing and categorizing an organism’s attributes, can help scientists better understand the differences in between individuals and teams of individuals, and to recognize specific qualities that might be linked to certain diseases or problems. Artificial intelligence (ML) can aid derive phenotypes from data, however these are challenging to share and replicate because of their complexity. Researchers in this research created and trained an ML-based phenotype to determine individuals extremely potential to have Lengthy COVID, an increasingly urgent public wellness factor to consider, and showed applicability of this approach for various other atmospheres. This is a success tale of exactly how clear technology and collaboration can make phenotyping algorithms extra obtainable to a broad target market of researchers in informatics, decreasing duplicated work and providing them with a device to reach insights faster, consisting of for various other conditions.
Navigating obstacles for multisite real world information (RWD) data sources
- Magazine : BMC Medical Study Methodology
- 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 huge scale systematized EHR databases such as N 3 C for research needs specialized expertise and careful examination of data quality and efficiency. This research study takes a look at the process of examining data top quality to prepare for research, focusing on medicine efficiency studies. Researchers identified a number of methods and ideal methods to much better characterize important research study components including direct exposure to treatment, standard health comorbidities, and essential end results of passion. As large range, centralized real life data sources become much more widespread, this is a helpful step forward in assisting scientists more effectively browse their unique data obstacles while opening essential applications for medication growth.
What’s Following for Health And Wellness Study at Palantir
While 2023 saw essential progression, the new year brings with it new possibilities, in addition to a necessity to use the most up to date technological innovations to the most essential health concerns facing people, communities, and the general public at large. For instance, in 2023, the united state Federal government declared its commitment to combating systemic conditions such as cancer, and also launched a new health and wellness company, the Advanced Research Study Projects Firm for Health ( ARPA-H
Additionally, in 2024, Palantir is happy to be a sector partner in the ingenious National AI Research Study Resource (NAIRR) pilot program , produced under the auspices of the National Science Structure (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was directed by the Biden Management’s Exec Order on Artificial Intelligence — Palantir will certainly be collaborating with its long-time companions at the National Institutes of Health And Wellness (NIH) and N 3 C to sustain study ahead of time secure, protected, and credible AI, in addition to the application of AI to difficulties in healthcare.
In 2024, we’re excited to collaborate with companions, new and old, on issues of vital relevance, applying our knowings on information, devices, and study to assist enable significant enhancements in wellness outcomes for all.
To read more about our continuing job throughout health and life scientific researches, visit https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies