2023 in Testimonial
Health Study + Technology: A Transition
Palantir Shop has actually long been instrumental in increasing the research findings of our health and wellness and life scientific research partners, assisting attain unmatched insights, improve information accessibility, boost information functionality, and promote innovative visualization and analysis of data resources– all while securing the personal privacy and safety of the support data
In 2023, Factory sustained over 50 peer-reviewed magazines in prestigious journals, covering a diverse variety of subjects– from medical facility operations, to oncological medications, to learning techniques. The year prior, our software program supported a document variety of peer-reviewed publications, which we highlighted in a prior blog post
Our partners’ foundational investments in technical facilities during the height of the COVID- 19 pandemic has made the excellent quantity of publications possible.
Public and commercial healthcare partners have actually proactively scaled their investments in information sharing and study software past COVID reaction to develop a much more comprehensive data structure for biomedical study. As an example, the N 3 C Enclave — which houses the data of 21 5 M clients from across virtually 100 institutions– is being made use of day-to-day by hundreds of scientists across companies and organizations. Offered the complexity of accessing, arranging, and harnessing ever-expanding biomedical data, the demand for similar study sources remains to increase.
In this post, we take a closer look at some notable magazines from 2023 and examine what exists ahead for software-backed study.
Arising Innovation and the Velocity of Scientific Research Study
The influence of brand-new innovations on the scientific venture is accelerating research-based outputs at a previously impossible range. Emerging innovations and progressed software application are assisting develop extra precise, arranged, and available information properties, which in turn are permitting researchers to take on increasingly complex scientific obstacles. In particular, as a modular, interoperable, and adaptable system, Factory has actually been used to support a varied range of clinical researches with unique study functions, consisting of AI-assisted therapies recognition, real-world proof generation, and much more.
In 2023, the market has actually additionally seen an exponential growth in passion around using Expert system (AI)– and particularly, generative AI and huge language designs (LLM)– in the wellness and life scientific research domains. Together with various other core technological improvements (e.g., around data high quality and usability), the potential for AI-enabled software to speed up clinical research is a lot more promising than ever. As an industrial leader in AI-enabled software, Palantir has gone to the leading edge of finding accountable, safe, and efficient methods to apply AI-enabled capabilities to support our partners throughout industries in attaining their crucial goals.
Over the past year, Palantir software program aided drive vital elements of our companions’ research study and we stand ready to proceed working together with our partners in government, market, and civil culture to take on one of the most important challenges in health and wellness and science ahead. In the next area, we provide concrete instances of just how the power of software program can aid advancement clinical research study, highlighting some essential biomedical publications powered by Factory in 2023
2023 Publications Powered by Palantir Factory
Along with a variety of important cancer and COVID treatment researches, Palantir Shop additionally allowed new findings in the more comprehensive field of study methodology. Listed below, we highlight an example of some of the most impactful peer-reviewed write-ups released in 2023 that made use of Palantir Shop to help drive their study.
Recognizing new effective medication mixes for several 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.
- Summary : Several myeloma (MM) is frequently immune to medicine therapy, needing continued expedition to determine new, efficient restorative combinations. In this research study, researchers made use of high-throughput medication screening to identify over 1900 compounds with task against at the very least 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million mixes were reviewed in silico, and sets of substances with extremely associated task throughout the 47 cell lines and different systems of activity were selected for more evaluation. Particularly, six (6 medicine combinations worked at 1 minimizing over-expression of a key healthy protein (MYC) that is commonly connected to the manufacturing of malignant cells and 2 raised expression of the p 16 protein, which can assist the body subdue lump development. Additionally, 3 (3 recognized drug mixes enhanced chances of survival and decreased the development of cancer cells, partly by lowering activity of pathways involved in TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings determine possibly helpful unique drug combinations for difficult to deal with several myeloma.
New rank-based protein classification method to boost glioblastoma treatment
- Publication : Cancers cells
- 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 sort of malignant brain growths, vary considerably, limiting the ability to examine the biological elements that drive whether glioblastomas will certainly respond to treatment. Nonetheless, data analysis of the proteome– the whole set of proteins that can be expressed by the growth– can 1 deal non-invasive methods of categorizing glioblastomas to aid notify treatment and 2 recognize healthy protein biomarkers related to interventions to evaluate reaction to treatment. In this research study, researchers created and checked a novel rank-based weighting method (“RadWise”) for protein features to assist ML algorithms concentrate on the one of the most appropriate factors that show post-therapy outcomes. RadWise uses an extra effective pathway to determine the healthy proteins and attributes that can be essential targets for therapy of these aggressive, fatal tumors.
Determining liver cancer subtypes most likely to respond to immunotherapy
- Magazine : Cell Reports Medication
- 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 cause of cancer fatalities in the US. This research examined variation in person end results for a type of immunotherapy making use of immune checkpoint inhibitors. Scientist kept in mind that specific molecular subtypes of cancer, specified by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint prevention therapy. Determining these molecular subtypes can help medical professionals determine whether a client’s special cancer cells is likely to reply to this kind of intervention, meaning they can apply extra targeted use immunotherapy and boost likelihood of success.
Using formulas to EHR information to infer pregnancy timing for more precise maternal health study
- Magazine : JAMIA, Female’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.
- Recap : There are indications that COVID- 19 can cause maternity difficulties, and pregnant persons seem at greater threat for extra severe COVID- 19 infection. Evaluation of health and wellness document (EHR) information can help supply more insight, however because of information variances, it is commonly challenging to determine 1 maternity begin and end dates and 2 gestational age of the baby at birth. To aid, researchers adjusted an existing formula for determining gestational age and pregnancy size that depends on analysis codes and distribution dates. To boost the accuracy of this algorithm, the researchers layered by themselves data-driven formulas to specifically infer pregnancy beginning, maternity end, and landmark period throughout a pregnancy’s development while likewise attending to EHR information inconsistency. This approach can be dependably utilized to make the foundational reasoning of maternity timing and can be applied to future pregnancy and maternity research on subjects such as damaging maternity end results and maternal death.
An unique technique for solving EHR information top quality concerns for clinical 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 : Professional encounter data can be an abundant resource for research, yet it commonly varies significantly across suppliers, facilities, and establishments, making it hard to consistently analyze. This incongruity is magnified when multisite digital health and wellness record (EHR) data is networked together in a main database. In this study, researchers developed an unique, generalizable approach for settling scientific encounter information for analysis by combining relevant experiences into composite “macrovisits.” This method assists control and fix EHR encounter information concerns in a generalizable, repeatable method, enabling scientists to extra easily open the possibility of this rich information for massive research studies.
Improving openness in phenotyping for Long COVID study and beyond
- 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
- Recap : Phenotyping, the process of evaluating and classifying a microorganism’s characteristics, can help scientists much better comprehend the differences in between individuals and groups of people, and to recognize details traits that may be linked to particular illness or conditions. Artificial intelligence (ML) can help acquire phenotypes from data, yet these are challenging to share and recreate as a result of their intricacy. Scientists in this study developed and trained an ML-based phenotype to recognize people very possible to have Lengthy COVID, a significantly urgent public health factor to consider, and revealed applicability of this approach for other environments. This is a success story of just how transparent innovation and partnership can make phenotyping formulas extra easily accessible to a broad audience of researchers in informatics, decreasing copied job and offering them with a tool to reach understandings quicker, including for various other conditions.
Navigating challenges for multisite real world data (RWD) databases
- Publication : BMC Medical Study Methodology
- 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 : Collaborating with big scale streamlined EHR data sources such as N 3 C for study calls for specialized understanding and mindful assessment of data top quality and completeness. This research analyzes the procedure of analyzing data quality to prepare for research study, focusing on medicine efficiency studies. Scientist recognized several techniques and ideal techniques to better define vital research elements consisting of direct exposure to therapy, baseline wellness comorbidities, and vital outcomes of passion. As big range, systematized real life data sources end up being more prevalent, this is a handy advance in helping scientists more effectively navigate their unique information challenges while unlocking essential applications for medicine growth.
What’s Next for Health And Wellness Study at Palantir
While 2023 saw vital development, the new year brings with it new opportunities, as well as an urgency to use the most recent technological innovations to one of the most crucial wellness issues dealing with people, communities, and the public at big. As an example, in 2023, the U.S. Government declared its dedication to combating systemic conditions such as cancer, and even released a new health agency, the Advanced Study Projects Company for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is happy to be an industry companion in the ingenious National AI Study Source (NAIRR) pilot program , developed under the auspices of the National Scientific Research Foundation (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was routed by the Biden Management’s Exec Order on Artificial Intelligence — Palantir will certainly be working with its long-time partners at the National Institutes of Wellness (NIH) and N 3 C to sustain research ahead of time risk-free, secure, and credible AI, in addition to the application of AI to obstacles in healthcare.
In 2024, we’re delighted to collaborate with partners, new and old, on concerns of important importance, using our knowings on data, devices, and research to aid make it possible for purposeful enhancements in health outcomes for all.
To get more information concerning our proceeding work throughout health and life scientific researches, go to https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies