2023 in Review
Health Research Study + Modern Technology: A Transition
Palantir Factory has actually long contributed in increasing the research study searchings for of our health and wellness and life science companions, helping achieve unprecedented insights, enhance information accessibility, improve information usability, and promote sophisticated visualization and evaluation of information resources– all while protecting the personal privacy and protection of the support information
In 2023, Foundry sustained over 50 peer-reviewed magazines in well-regarded journals, covering a varied variety of subjects– from health center procedures, to oncological medications, to learning methods. The year prior, our software program supported a document number of peer-reviewed magazines, which we highlighted in a prior blog post
Our partners’ foundational investments in technological framework throughout the optimal of the COVID- 19 pandemic has made the outstanding amount of magazines feasible.
Public and industrial healthcare partners have actually proactively scaled their investments in data sharing and research study software program beyond COVID action to develop a much more detailed information foundation for biomedical research study. For example, the N 3 C Enclave — which houses the information of 21 5 M clients from throughout almost 100 organizations– is being utilized daily by countless scientists across firms and companies. Given the complexity of accessing, organizing, and harnessing ever-expanding biomedical information, the demand for similar research sources continues to climb.
In this blog post, we take a closer consider some noteworthy publications from 2023 and examine what lies ahead for software-backed research.
Emerging Innovation and the Acceleration of Scientific Research Study
The influence of new innovations on the scientific venture is increasing research-based outcomes at a formerly impossible range. Emerging technologies and advanced software application are aiding develop extra accurate, organized, and available information possessions, which in turn are allowing researchers to deal with progressively intricate clinical obstacles. Particularly, as a modular, interoperable, and versatile system, Shop has actually been made use of to sustain a varied series of scientific research studies with special research study features, including AI-assisted rehabs recognition, real-world proof generation, and more.
In 2023, the industry has actually additionally seen a rapid development in interest around utilizing Expert system (AI)– and particularly, generative AI and large language designs (LLM)– in the health and life scientific research domain names. Along with other core technological improvements (e.g., around data quality and usability), the capacity for AI-enabled software program to accelerate clinical study is extra promising than ever. As a business leader in AI-enabled software program, Palantir has been at the forefront of searching for accountable, safe and secure, and efficient means to use AI-enabled capacities to sustain our companions across industries in attaining their essential objectives.
Over the previous year, Palantir software program assisted drive crucial parts of our companions’ study and we stand prepared to proceed collaborating with our companions in government, market, and civil society to deal with the most pressing difficulties in health and wellness and scientific research in advance. In the next section, we provide concrete examples of exactly how the power of software program can assist advance clinical research study, highlighting some key biomedical magazines powered by Foundry in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of essential cancer cells and COVID therapy studies, Palantir Foundry also allowed new searchings for in the wider field of study methodology. Listed below, we highlight a sample of several of the most impactful peer-reviewed write-ups released in 2023 that utilized Palantir Foundry to aid drive their research study.
Recognizing new efficient medicine combinations for numerous myeloma
- Publication : Cancer 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.
- Summary : Several myeloma (MM) is frequently resistant to drug therapy, requiring continued exploration to identify new, efficient restorative combinations. In this study, scientists used high-throughput medicine screening to recognize over 1900 substances with task versus at the very least 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million combinations were reviewed in silico, and sets of compounds with highly associated task throughout the 47 cell lines and different systems of action were picked for more evaluation. Specifically, 6 (6 medicine combinations were effective at 1 minimizing over-expression of an essential protein (MYC) that is usually linked to the manufacturing of deadly cells and 2 increased expression of the p 16 healthy protein, which can help the body subdue tumor growth. Additionally, 3 (3 identified medicine mixes raised opportunities of survival and decreased the development of cancer cells, in part by decreasing activity of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life process. These preclinical findings identify potentially beneficial novel medication mixes for hard to deal with numerous myeloma.
New rank-based healthy protein classification method to boost glioblastoma treatment
- Publication : Cancers
- 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 type of cancerous brain growths, differ considerably, limiting the capability to analyze the biological variables that drive whether glioblastomas will respond to treatment. Nevertheless, information evaluation of the proteome– the entire collection of healthy proteins that can be expressed by the tumor– can 1 offer non-invasive approaches of classifying glioblastomas to help educate therapy and 2 recognize healthy protein biomarkers related to interventions to examine response to treatment. In this research, researchers created and checked a novel rank-based weighting method (“RadWise”) for protein includes to help ML formulas focus on the one of the most appropriate variables that show post-therapy results. RadWise supplies a much more efficient pathway to determine the healthy proteins and attributes that can be vital targets for therapy of these aggressive, deadly lumps.
Recognizing liver cancer cells subtypes most likely to reply 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is a rising reason for cancer cells fatalities in the US. This research checked out variation in person end results for a kind of immunotherapy making use of immune checkpoint preventions. Scientist noted that certain molecular subtypes of cancer, specified by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were linked to greater survival rates with immune checkpoint prevention treatment. Recognizing these molecular subtypes can aid medical professionals recognize whether a client’s special cancer cells is most likely to react to this type of intervention, meaning they can apply extra targeted use of immunotherapy and boost probability of success.
Applying algorithms to EHR data to infer pregnancy timing for more precise mother’s health research study
- 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.
- Recap : There are indicators that COVID- 19 can create maternity difficulties, and expecting persons appear to be at higher danger for much more extreme COVID- 19 infection. Evaluation of health and wellness document (EHR) data can assist provide even more insight, but because of data disparities, it is typically hard to identify 1 pregnancy beginning and end dates and 2 gestational age of the child at birth. To assist, scientists adapted an existing formula for figuring out gestational age and maternity size that depends on diagnostic codes and distribution days. To boost the accuracy of this algorithm, the researchers layered by themselves data-driven algorithms to specifically presume pregnancy start, pregnancy end, and site timespan throughout a maternity’s development while also resolving EHR data inconsistency. This approach can be dependably utilized to make the fundamental inference of pregnancy timing and can be applied to future maternity and maternity study on topics such as unfavorable maternity end results and mother’s death.
A novel approach for solving EHR information quality issues for scientific encounters
- 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.
- Recap : Clinical encounter information can be a rich resource for research, but it usually differs substantially across service providers, facilities, and establishments, making it tough to evenly analyze. This inconsistency is amplified when multisite electronic health and wellness record (EHR) information is networked with each other in a central database. In this research, scientists developed a novel, generalizable approach for settling medical experience data for evaluation by incorporating related experiences right into composite “macrovisits.” This methodology helps manipulate and deal with EHR encounter information concerns in a generalizable, repeatable way, permitting scientists to extra quickly open the potential of this rich data for large researches.
Improving transparency in phenotyping for Long COVID research 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 Recuperate Consortia
- Recap : Phenotyping, the process of evaluating and categorizing an organism’s attributes, can assist scientists better understand the differences in between individuals and teams of individuals, and to identify certain attributes that might be linked to specific illness or problems. Artificial intelligence (ML) can assist acquire phenotypes from data, however these are challenging to share and duplicate as a result of their complexity. Scientists in this research created and educated an ML-based phenotype to recognize clients highly possible to have Lengthy COVID, a progressively immediate public health factor to consider, and revealed applicability of this technique for various other settings. This is a success tale of just how clear innovation and collaboration can make phenotyping formulas much more available to a broad target market of scientists in informatics, minimizing duplicated work and providing them with a tool to get to understandings much faster, including for various other conditions.
Navigating obstacles for multisite real world information (RWD) databases
- Magazine : BMC Medical Research Study Technique
- Authors : 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
- Summary : Working with huge scale streamlined EHR data sources such as N 3 C for study requires specialized expertise and cautious analysis of data quality and completeness. This study examines the procedure of examining data quality in preparation for research, focusing on medicine efficacy studies. Researchers recognized several techniques and best methods to much better identify essential research study components including exposure to treatment, baseline health and wellness comorbidities, and crucial results of passion. As huge range, systematized real life databases come to be a lot more widespread, this is a handy progression in aiding scientists more effectively browse their unique information obstacles while unlocking crucial applications for medication advancement.
What’s Next for Health Research Study at Palantir
While 2023 saw important progression, the new year brings with it brand-new opportunities, as well as a necessity to apply the most up to date technological developments to one of the most essential health and wellness concerns dealing with individuals, areas, and the general public at big. As an example, in 2023, the U.S. Federal government reaffirmed its dedication to combating systemic diseases such as cancer, and even launched a new health agency, the Advanced Study Projects Company for Wellness ( ARPA-H
Additionally, in 2024, Palantir is pleased to be a sector companion in the ingenious National AI Research Source (NAIRR) pilot program , produced under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was guided by the Biden Administration’s Executive Order on Expert System — Palantir will certainly be dealing with its veteran partners at the National Institutes of Health And Wellness (NIH) and N 3 C to support study ahead of time secure, protected, and reliable AI, in addition to the application of AI to challenges in healthcare.
In 2024, we’re excited to work with companions, brand-new and old, on problems of critical significance, using our learnings on information, devices, and research study to aid make it possible for purposeful improvements in health outcomes for all.
To get more information about our continuing job throughout health and wellness and life scientific researches, see https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies