2023 in Testimonial
Wellness Research Study + Modern Technology: A Juncture
Palantir Shop has actually long been instrumental in increasing the research study findings of our wellness and life scientific research partners, aiding achieve unprecedented insights, enhance information access, enhance data usability, and promote innovative visualization and evaluation of information resources– all while shielding the privacy and safety of the backing information
In 2023, Shop supported over 50 peer-reviewed magazines in renowned journals, covering a varied number of subjects– from hospital procedures, to oncological drugs, to learning techniques. The year prior, our software supported a document variety of peer-reviewed magazines, which we highlighted in a previous article
Our companions’ foundational financial investments in technological infrastructure during the top of the COVID- 19 pandemic has actually made the excellent amount of magazines possible.
Public and commercial health care companions have actually proactively scaled their investments in data sharing and research study software beyond COVID feedback to develop an extra detailed information foundation for biomedical research. As an example, the N 3 C Enclave — which houses the information of 21 5 M people from throughout nearly 100 establishments– is being made use of day-to-day by countless researchers throughout companies and companies. Provided the complexity of accessing, organizing, and harnessing ever-expanding biomedical information, the need for similar study sources continues to climb.
In this blog post, we take a closer look at some notable magazines from 2023 and analyze what lies in advance for software-backed research.
Emerging Innovation and the Acceleration of Scientific Research Study
The influence of brand-new modern technologies on the scientific enterprise is increasing research-based results at a formerly difficult scale. Arising technologies and progressed software application are aiding produce a lot more exact, arranged, and easily accessible data possessions, which in turn are permitting researchers to deal with progressively complicated scientific difficulties. Particularly, as a modular, interoperable, and versatile system, Factory has been used to support a varied series of clinical studies with distinct research features, including AI-assisted therapeutics identification, real-world proof generation, and much more.
In 2023, the sector has actually likewise seen an exponential development in interest around utilizing Artificial Intelligence (AI)– and particularly, generative AI and big language models (LLM)– in the wellness and life science domain names. Along with various other core technological advancements (e.g., around information high quality and usability), the capacity for AI-enabled software application to speed up clinical research is more promising than ever before. As a business leader in AI-enabled software application, Palantir has been at the forefront of searching for liable, safe, and effective ways to apply AI-enabled capacities to sustain our companions across sectors in accomplishing their essential missions.
Over the previous year, Palantir software program assisted drive essential parts of our companions’ research and we stand ready to continue collaborating with our partners in government, sector, and civil society to deal with one of the most pressing challenges in health and wellness and scientific research ahead. In the next area, we supply concrete examples of just how the power of software program can aid advancement clinical study, highlighting some crucial biomedical magazines powered by Foundry in 2023
2023 Publications Powered by Palantir Factory
In addition to a number of vital cancer and COVID treatment research studies, Palantir Factory also made it possible for brand-new findings in the broader field of study approach. Listed below, we highlight a sample of some of one of the most impactful peer-reviewed write-ups published in 2023 that made use of Palantir Shop to help drive their study.
Determining brand-new reliable medication mixes for multiple myeloma
- Magazine : 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.
- Summary : Multiple myeloma (MM) is frequently immune to medication treatment, requiring ongoing expedition to identify new, efficient restorative combinations. In this research study, scientists utilized high-throughput medication testing to recognize over 1900 compounds with task against at the very least 25 of the 47 MM cell lines tested. From these 1900 compounds, 3 61 million combinations were reviewed in silico, and pairs of compounds with extremely correlated task across the 47 cell lines and different mechanisms of action were chosen for additional evaluation. Especially, 6 (6 drug mixes were effective at 1 reducing over-expression of a crucial protein (MYC) that is commonly connected to the production of malignant cells and 2 raised expression of the p 16 protein, which can aid the body suppress lump development. Furthermore, three (3 identified medication mixes enhanced possibilities of survival and decreased the growth of cancer cells, partly by minimizing activity of pathways involved in TGFβ/ SMAD signaling, which control the cell life process. These preclinical searchings for recognize potentially useful novel medicine combinations for hard to treat numerous myeloma.
New rank-based protein category method to enhance glioblastoma treatment
- Publication : Cancers cells
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, the most common type of malignant mind lumps, vary greatly, restricting the capacity to examine the organic elements that drive whether glioblastomas will respond to therapy. Nevertheless, information analysis of the proteome– the whole set of healthy proteins that can be revealed by the tumor– can 1 offer non-invasive techniques of classifying glioblastomas to assist educate treatment and 2 recognize protein biomarkers associated with interventions to evaluate reaction to treatment. In this study, scientists established and evaluated a novel rank-based weighting technique (“RadWise”) for protein includes to assist ML formulas concentrate on the the most pertinent factors that suggest post-therapy results. RadWise supplies an extra effective pathway to identify the healthy proteins and features that can be crucial targets for therapy of these hostile, fatal lumps.
Recognizing liver cancer cells subtypes likely to reply to immunotherapy
- Magazine : Cell Records 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 cells is an increasing source of cancer fatalities in the United States. This research investigated variation in client results for a sort of immunotherapy using immune checkpoint inhibitors. Researchers noted that certain molecular subtypes of cancer, defined by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival prices with immune checkpoint prevention therapy. Identifying these molecular subtypes can assist doctors identify whether a person’s unique cancer is most likely to respond to this kind of treatment, indicating they can apply more targeted use immunotherapy and boost chance of success.
Using algorithms to EHR information to infer maternity timing for more exact maternal health research
- Magazine : JAMIA, Female’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., Hill, E.L.
- Summary : There are indicators that COVID- 19 can create maternity issues, and expectant persons appear to be at higher threat for more serious COVID- 19 infection. Analysis of health and wellness document (EHR) information can aid provide more understanding, yet because of information inconsistencies, it is typically difficult to determine 1 maternity start and end dates and 2 gestational age of the infant at birth. To assist, scientists adjusted an existing formula for determining gestational age and pregnancy length that counts on diagnostic codes and shipment days. To increase the precision of this algorithm, the scientists layered by themselves data-driven formulas to exactly infer pregnancy begin, maternity end, and site period throughout a maternity’s progression while likewise dealing with EHR data inconsistency. This method can be dependably used to make the foundational inference of pregnancy timing and can be related to future pregnancy and pregnancy research study on topics such as negative maternity end results and mother’s death.
An unique technique for dealing with EHR information top quality issues for clinical experiences
- Magazine : 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 : Scientific experience information can be an abundant source for research, yet it usually differs significantly throughout carriers, facilities, and establishments, making it difficult to evenly evaluate. This disparity is multiplied when multisite electronic health and wellness record (EHR) data is networked with each other in a main database. In this study, scientists established a novel, generalizable approach for dealing with medical experience information for evaluation 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 more quickly unlock the capacity of this rich information for large-scale researches.
Improving transparency in phenotyping for Long COVID study and past
- Magazine : 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 procedure of examining and categorizing an organism’s qualities, can assist scientists much better recognize the distinctions in between people and teams of people, and to identify certain traits that might be linked to specific diseases or problems. Machine learning (ML) can aid acquire phenotypes from data, but these are testing to share and reproduce as a result of their intricacy. Scientists in this study devised and educated an ML-based phenotype to determine clients extremely potential to have Lengthy COVID, an increasingly urgent public health and wellness consideration, and revealed applicability of this approach for various other environments. This is a success tale of how clear innovation and cooperation can make phenotyping algorithms more accessible to a wide audience of scientists in informatics, reducing duplicated work and supplying them with a tool to get to understandings much faster, including for other illness.
Browsing difficulties for multisite real world information (RWD) databases
- Magazine : BMC Medical Study Methodology
- Writers : 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 : Collaborating with large scale streamlined EHR data sources such as N 3 C for research study requires specialized knowledge and careful analysis of data quality and efficiency. This study examines the process of assessing data quality in preparation for study, focusing on medicine efficiency studies. Scientist determined several methods and finest practices to better characterize vital study aspects including direct exposure to treatment, standard health comorbidities, and key results of passion. As huge scale, streamlined real world data sources become much more widespread, this is a handy progression in helping researchers more effectively navigate their special data difficulties while opening vital applications for medication advancement.
What’s Next for Health Research Study at Palantir
While 2023 saw vital development, the new year brings with it brand-new opportunities, as well as a necessity to apply the most up to date technical advancements to the most vital wellness problems dealing with people, areas, and the public at large. As an example, in 2023, the U.S. Government declared its dedication to combating systemic illness such as cancer cells, and also released a new health and wellness company, the Advanced Research Projects Company for Health ( ARPA-H
In addition, in 2024, Palantir is pleased to be a sector partner in the innovative National AI Study Source (NAIRR) pilot program , created under the auspices of the National Science Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was guided by the Biden Management’s Exec Order on Artificial Intelligence — Palantir will certainly be working with its veteran companions at the National Institutes of Health (NIH) and N 3 C to sustain research study ahead of time safe, protected, 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 vital value, applying our discoverings on data, devices, and study to help enable meaningful enhancements in health and wellness end results for all.
To read more about our continuing job across wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies