2023 in Evaluation
Health And Wellness Study + Technology: A Pivotal Moment
Palantir Factory has actually long contributed in speeding up the study findings of our health and life science partners, assisting achieve unmatched insights, streamline information accessibility, boost information use, and help with advanced visualization and analysis of data resources– all while safeguarding the personal privacy and protection of the backing information
In 2023, Factory sustained over 50 peer-reviewed publications in prestigious journals, covering a varied variety of topics– from hospital operations, to oncological medications, to discovering methods. The year prior, our software program supported a document variety of peer-reviewed magazines, which we highlighted in a prior blog post
Our partners’ fundamental financial investments in technological facilities during the peak of the COVID- 19 pandemic has made the outstanding amount of publications feasible.
Public and business healthcare partners have actually proactively scaled their investments in data sharing and research software program beyond COVID response to build an extra thorough data foundation for biomedical study. As an example, the N 3 C Enclave — which houses the data of 21 5 M individuals from throughout nearly 100 organizations– is being used everyday by thousands of scientists across firms and companies. Offered the complexity of accessing, arranging, and taking advantage of ever-expanding biomedical information, the need for similar research resources remains to increase.
In this blog post, we take a closer look at some significant publications from 2023 and examine what exists ahead for software-backed research study.
Arising Modern Technology and the Velocity of Scientific Study
The impact of new modern technologies on the clinical enterprise is increasing research-based outcomes at a previously difficult scale. Emerging technologies and progressed software program are assisting produce a lot more specific, organized, and obtainable information properties, which subsequently are allowing scientists to deal with significantly intricate clinical difficulties. In particular, as a modular, interoperable, and versatile system, Factory has been used to support a diverse range of scientific studies with one-of-a-kind research study functions, including AI-assisted rehabs identification, real-world proof generation, and much more.
In 2023, the market has actually likewise seen an exponential development in passion around making use of Artificial Intelligence (AI)– and specifically, generative AI and large language versions (LLM)– in the health and life scientific research domains. Along with various other core technical innovations (e.g., around data top quality and use), the possibility for AI-enabled software application to accelerate clinical research is extra encouraging than ever before. As an industrial leader in AI-enabled software application, Palantir has gone to the leading edge of searching for accountable, safe, and efficient ways to apply AI-enabled capacities to support our partners throughout industries in accomplishing their essential missions.
Over the previous year, Palantir software application aided drive crucial elements of our partners’ research and we stand prepared to continue working together with our partners in federal government, industry, and civil culture to deal with one of the most pressing obstacles in health and wellness and scientific research ahead. In the following section, we provide concrete instances of how the power of software can aid breakthrough scientific research, highlighting some essential biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Shop
In addition to a number of important cancer and COVID treatment researches, Palantir Factory additionally made it possible for new findings in the wider field of research study method. Below, we highlight an example of a few of one of the most impactful peer-reviewed posts published in 2023 that made use of Palantir Shop to help drive their research study.
Identifying new reliable medication combinations for numerous 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 : Several myeloma (MM) is regularly immune to medicine therapy, calling for continued exploration to identify new, efficient therapeutic mixes. In this research study, researchers made use of high-throughput medication screening to identify over 1900 substances with task against a minimum of 25 of the 47 MM cell lines tested. From these 1900 compounds, 3 61 million mixes were evaluated in silico, and sets of substances with extremely correlated task across the 47 cell lines and different devices of action were picked for additional analysis. Particularly, six (6 medicine mixes worked at 1 lowering over-expression of a vital protein (MYC) that is often connected to the production of malignant cells and 2 raised expression of the p 16 healthy protein, which can aid the body suppress lump development. Furthermore, 3 (3 identified medicine mixes enhanced chances of survival and reduced the development of cancer cells, partly by reducing activity of paths associated with TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings recognize possibly useful unique drug combinations for hard to deal with numerous myeloma.
New rank-based protein classification technique to boost glioblastoma treatment
- Magazine : Cancers cells
- Writers : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Recap : Glioblastomas, one of the most common kind of malignant brain lumps, vary greatly, restricting the capacity to analyze the organic elements that drive whether glioblastomas will react to therapy. However, information analysis of the proteome– the entire set of healthy proteins that can be shared by the lump– can 1 offer non-invasive methods of categorizing glioblastomas to aid notify therapy and 2 recognize protein biomarkers connected with treatments to examine feedback to treatment. In this study, scientists created and examined an unique rank-based weighting approach (“RadWise”) for healthy protein includes to assist ML formulas concentrate on the the most appropriate variables that indicate post-therapy outcomes. RadWise provides a much more efficient pathway to recognize the proteins and features that can be vital targets for therapy of these aggressive, fatal growths.
Recognizing liver cancer subtypes most likely to reply to immunotherapy
- Magazine : Cell Records Medicine
- 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 an increasing cause of cancer cells deaths in the US. This research study checked out variation in patient end results for a kind of immunotherapy using immune checkpoint inhibitors. Scientist noted that certain molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint prevention treatment. Recognizing these molecular subtypes can assist physicians identify whether a patient’s unique cancer is most likely to respond to this sort of intervention, suggesting they can use more targeted use of immunotherapy and improve possibility of success.
Applying formulas to EHR data to presume maternity timing for even more exact mother’s wellness study
- Magazine : JAMIA, Women’s Wellness Special Edition
- 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 signs that COVID- 19 can trigger pregnancy issues, and pregnant individuals seem at higher threat for more extreme COVID- 19 infection. Evaluation of health and wellness record (EHR) data can aid give even more insight, but as a result of data disparities, it is often difficult to establish 1 pregnancy beginning and end days and 2 gestational age of the infant at birth. To help, researchers adjusted an existing formula for establishing gestational age and pregnancy size that relies upon diagnostic codes and distribution days. To raise the accuracy of this formula, the scientists layered on their own data-driven formulas to precisely infer pregnancy start, pregnancy end, and site amount of time throughout a pregnancy’s progression while also dealing with EHR information variance. This approach can be reliably utilized to make the fundamental reasoning of maternity timing and can be put on future maternity and pregnancy study on topics such as damaging pregnancy results and maternal death.
A novel method for fixing EHR data high quality issues for scientific encounters
- 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 : Clinical experience data can be an abundant source for research, however it commonly differs greatly across suppliers, facilities, and establishments, making it tough to uniformly assess. This incongruity is amplified when multisite digital health document (EHR) information is networked with each other in a central data source. In this study, researchers established a novel, generalizable approach for resolving clinical encounter information for evaluation by integrating relevant encounters right into composite “macrovisits.” This technique aids adjust and solve EHR experience information concerns in a generalizable, repeatable method, allowing researchers to a lot more quickly open the capacity of this rich data for large-scale studies.
Improving openness in phenotyping for Long COVID study and past
- 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
- Summary : Phenotyping, the procedure of examining and categorizing an organism’s features, can help researchers much better comprehend the differences in between individuals and teams of people, and to identify certain attributes that may be connected to certain illness or problems. Machine learning (ML) can aid acquire phenotypes from information, but these are testing to share and recreate due to their complexity. Scientists in this research created and educated an ML-based phenotype to recognize patients extremely likely to have Lengthy COVID, an increasingly immediate public wellness factor to consider, and revealed applicability of this approach for other atmospheres. This is a success story of how transparent technology and partnership can make phenotyping algorithms a lot more easily accessible to a wide audience of researchers in informatics, minimizing copied job and supplying them with a tool to get to understandings much faster, including for various other diseases.
Browsing difficulties for multisite real world data (RWD) data sources
- Publication : BMC Medical Study Method
- Writers : 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
- Recap : Dealing with huge range streamlined EHR data sources such as N 3 C for study requires specialized knowledge and mindful analysis of information quality and completeness. This research takes a look at the procedure of examining data top quality to prepare for research study, concentrating on medicine effectiveness research studies. Scientist determined a number of approaches and best techniques to much better characterize vital research study elements consisting of exposure to therapy, standard health and wellness comorbidities, and key outcomes of passion. As big range, centralized real life databases become much more prevalent, this is a valuable advance in helping scientists better browse their one-of-a-kind data challenges while opening essential applications for drug development.
What’s Following for Health Study at Palantir
While 2023 saw vital progression, the new year brings with it new possibilities, as well as a necessity to use the most up to date technical developments to the most crucial health and wellness issues dealing with individuals, areas, and the public at big. For instance, in 2023, the U.S. Government reaffirmed its dedication to combating systemic conditions such as cancer cells, and also released a new health and wellness company, the Advanced Research Projects Company for Health ( ARPA-H
Furthermore, in 2024, Palantir is happy to be a market companion in the innovative National AI Study Source (NAIRR) pilot program , produced under the auspices of the National Science Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was routed by the Biden Administration’s Exec Order on Artificial Intelligence — Palantir will certainly be dealing with its long-time companions at the National Institutes of Wellness (NIH) and N 3 C to support research study in advancing safe, secure, and credible AI, in addition to the application of AI to obstacles in medical care.
In 2024, we’re thrilled to work with companions, brand-new and old, on problems of crucial importance, applying our knowings on data, tools, and study to help make it possible for significant improvements in health and wellness results for all.
To find out more concerning our continuing work across health and life sciences, visit https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies