2023 in Review
Wellness Research + Modern Technology: A Juncture
Palantir Factory has actually long been instrumental in accelerating the research study searchings for of our wellness and life science companions, helping attain unprecedented insights, streamline information accessibility, boost data functionality, and help with advanced visualization and evaluation of information sources– all while safeguarding the privacy and safety and security of the support information
In 2023, Foundry sustained over 50 peer-reviewed publications in renowned journals, covering a diverse variety of subjects– from medical facility procedures, to oncological medications, to discovering modalities. The year prior, our software supported a record variety of peer-reviewed publications, which we highlighted in a prior blog post
Our companions’ fundamental financial investments in technical framework during the peak of the COVID- 19 pandemic has made the impressive amount of magazines possible.
Public and industrial health care partners have proactively scaled their financial investments in information sharing and research software application beyond COVID response to build a more detailed data structure for biomedical research study. For example, the N 3 C Enclave — which houses the data of 21 5 M clients from throughout practically 100 institutions– is being made use of daily by hundreds of researchers across firms and organizations. Given the intricacy of accessing, arranging, and utilizing ever-expanding biomedical information, the demand for comparable study resources continues to rise.
In this article, we take a closer look at some notable magazines from 2023 and analyze what lies in advance for software-backed research.
Emerging Modern Technology and the Acceleration of Scientific Research
The influence of brand-new modern technologies on the clinical enterprise is accelerating research-based outcomes at a formerly difficult range. Emerging modern technologies and advanced software program are aiding develop extra accurate, organized, and accessible data properties, which subsequently are enabling scientists to deal with significantly complicated scientific difficulties. Specifically, as a modular, interoperable, and versatile platform, Factory has been utilized to support a varied variety of scientific researches with special research functions, consisting of AI-assisted therapies identification, real-world evidence generation, and a lot more.
In 2023, the industry has also seen an exponential growth in rate of interest around utilizing Expert system (AI)– and in particular, generative AI and huge language designs (LLM)– in the wellness and life scientific research domain names. Along with various other core technological improvements (e.g., around information high quality and usability), the possibility for AI-enabled software program to increase clinical research study is extra appealing than ever before. As a commercial leader in AI-enabled software, Palantir has been at the center of searching for accountable, protected, and efficient ways to use AI-enabled capacities to support our partners throughout sectors in attaining their crucial missions.
Over the past year, Palantir software application aided drive vital components of our partners’ research study and we stand all set to continue collaborating with our partners in federal government, industry, and civil culture to take on one of the most important difficulties in health and wellness and science ahead. In the following area, we offer concrete examples of how the power of software application can help development scientific research study, highlighting some vital biomedical publications powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
Along with a number of important cancer cells and COVID treatment researches, Palantir Foundry also enabled new searchings for in the wider field of study approach. Below, we highlight an example of several of the most impactful peer-reviewed short articles released in 2023 that used Palantir Factory to assist drive their study.
Determining new effective drug combinations for multiple myeloma
- Magazine : 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.
- Recap : Multiple myeloma (MM) is often resistant to medication therapy, requiring continued exploration to recognize brand-new, reliable therapeutic mixes. In this research, scientists made use of high-throughput medication screening to identify over 1900 compounds with activity versus at least 25 of the 47 MM cell lines checked. From these 1900 compounds, 3 61 million mixes were assessed in silico, and pairs of compounds with highly associated activity across the 47 cell lines and different devices of action were chosen for additional analysis. Specifically, 6 (6 drug mixes were effective at 1 decreasing over-expression of a key healthy protein (MYC) that is commonly connected to the manufacturing of deadly cells and 2 increased expression of the p 16 healthy protein, which can assist the body suppress tumor growth. In addition, 3 (3 determined medication mixes enhanced opportunities of survival and lowered the development of cancer cells, in part by lowering task of pathways associated with TGFβ/ SMAD signaling, which control the cell life process. These preclinical findings determine possibly helpful unique medicine combinations for hard to deal with multiple myeloma.
New rank-based healthy protein classification approach to enhance glioblastoma therapy
- 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 usual kind of cancerous mind tumors, differ significantly, restricting the capability to evaluate the organic factors that drive whether glioblastomas will respond to treatment. Nevertheless, information analysis of the proteome– the whole set of healthy proteins that can be shared by the tumor– can 1 deal non-invasive techniques of categorizing glioblastomas to help educate treatment and 2 recognize healthy protein biomarkers associated with treatments to review response to treatment. In this study, researchers developed and examined an unique rank-based weighting technique (“RadWise”) for healthy protein includes to assist ML formulas focus on the one of the most pertinent factors that show post-therapy outcomes. RadWise provides a much more reliable pathway to determine the proteins and features that can be crucial targets for therapy of these aggressive, deadly lumps.
Recognizing liver cancer 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is a climbing root cause of cancer deaths in the US. This study explored variation in client end results for a sort of immunotherapy making use of immune checkpoint preventions. Scientist kept in mind that specific molecular subtypes of cancer, defined by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint inhibitor treatment. Recognizing these molecular subtypes can aid doctors recognize whether a person’s special cancer cells is most likely to react to this type of treatment, implying they can use extra targeted use of immunotherapy and improve possibility of success.
Using formulas to EHR information to presume maternity timing for more precise mother’s health and wellness study
- Publication : 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.
- Summary : There are indicators that COVID- 19 can create pregnancy issues, and expecting individuals seem at greater threat for a lot more extreme COVID- 19 infection. Analysis of wellness document (EHR) data can help offer even more insight, but as a result of information variances, it is frequently hard to ascertain 1 maternity start and end days and 2 gestational age of the infant at birth. To aid, scientists adjusted an existing formula for determining gestational age and pregnancy length that depends on diagnostic codes and shipment dates. To boost the accuracy of this formula, the researchers layered by themselves data-driven formulas to exactly presume maternity begin, pregnancy end, and site timespan throughout a maternity’s progression while additionally attending to EHR data disparity. This approach can be reliably utilized to make the foundational inference of pregnancy timing and can be applied to future pregnancy and pregnancy study on subjects such as adverse pregnancy end results and mother’s mortality.
A novel technique for settling EHR data quality problems for professional experiences
- Publication : 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 : Medical experience data can be a rich resource for research, yet it frequently differs substantially across service providers, centers, and establishments, making it challenging to uniformly evaluate. This incongruity is multiplied when multisite electronic wellness document (EHR) information is networked together in a central data source. In this study, researchers developed an unique, generalizable method for dealing with scientific encounter data for evaluation by combining associated experiences into composite “macrovisits.” This approach aids adjust and resolve EHR encounter information concerns in a generalizable, repeatable method, permitting scientists to extra easily open the capacity of this rich information for large researches.
Improving openness in phenotyping for Long COVID research study and past
- 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 Recuperate Consortia
- Recap : Phenotyping, the process of examining and categorizing a microorganism’s attributes, can assist scientists much better recognize the differences between people and teams of individuals, and to identify specific traits that may be connected to particular diseases or conditions. Machine learning (ML) can help acquire phenotypes from data, but these are challenging to share and replicate because of their complexity. Scientists in this study designed and trained an ML-based phenotype to recognize clients extremely probable to have Long COVID, a significantly immediate public health and wellness consideration, and showed applicability of this approach for other settings. This is a success tale of exactly how transparent innovation and partnership can make phenotyping algorithms extra easily accessible to a wide audience of researchers in informatics, reducing copied work and offering them with a device to get to understandings much faster, consisting of for various other diseases.
Browsing obstacles for multisite real life information (RWD) databases
- Publication : BMC Medical Research Approach
- 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
- Recap : Working with large scale systematized EHR databases such as N 3 C for study needs specialized knowledge and cautious analysis of information top quality and efficiency. This research study takes a look at the process of assessing data high quality in preparation for study, focusing on drug effectiveness studies. Scientist determined a number of methods and finest methods to much better define important research study aspects including direct exposure to treatment, standard wellness comorbidities, and crucial results of interest. As big scale, centralized real life databases become more widespread, this is a useful step forward in helping researchers more effectively navigate their distinct information obstacles while opening vital applications for drug advancement.
What’s Next for Health And Wellness Research Study at Palantir
While 2023 saw essential development, the new year brings with it brand-new opportunities, along with a necessity to apply the most recent technological developments to one of the most important health issues encountering people, neighborhoods, and the public at huge. For instance, in 2023, the united state Government declared its dedication to combating systemic diseases such as cancer, and even introduced a brand-new wellness firm, the Advanced Research Projects Company for Health And Wellness ( ARPA-H
In addition, in 2024, Palantir is happy to be a market partner in the cutting-edge National AI Research Resource (NAIRR) pilot program , created under the auspices of the National Scientific Research Foundation (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was guided by the Biden Administration’s Executive Order on Expert System — Palantir will certainly be collaborating with its long-time partners at the National Institutes of Health (NIH) and N 3 C to sustain study ahead of time risk-free, safe and secure, and reliable AI, along with the application of AI to obstacles in medical care.
In 2024, we’re excited to collaborate with partners, brand-new and old, on concerns of essential importance, applying our discoverings on information, devices, and research study to help allow purposeful enhancements in health end results for all.
To find out more regarding our proceeding work throughout health and wellness and life scientific researches, check out https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies