2023 in Evaluation
Wellness Research Study + Modern Technology: A Pivotal Moment
Palantir Shop has long been instrumental in speeding up the research findings of our health and life scientific research partners, aiding achieve extraordinary insights, streamline information gain access to, enhance information use, and help with innovative visualization and evaluation of information sources– all while protecting the privacy and safety of the support information
In 2023, Foundry sustained over 50 peer-reviewed magazines in prestigious journals, covering a varied variety of subjects– from health center procedures, to oncological drugs, to discovering methods. The year prior, our software program supported a document number of peer-reviewed magazines, which we highlighted in a prior blog post
Our companions’ fundamental investments in technological framework throughout the height of the COVID- 19 pandemic has actually made the outstanding quantity of publications possible.
Public and industrial healthcare partners have actually proactively scaled their financial investments in data sharing and research study software application beyond COVID response to construct an extra extensive information structure for biomedical study. For instance, the N 3 C Enclave — which houses the data of 21 5 M people from throughout virtually 100 establishments– is being used daily by hundreds of scientists across firms and companies. Given the complexity of accessing, organizing, and taking advantage of ever-expanding biomedical information, the need for similar research study resources continues to climb.
In this article, we take a closer look at some notable magazines from 2023 and analyze what exists ahead for software-backed study.
Emerging Modern Technology and the Velocity of Scientific Research Study
The influence of brand-new technologies on the clinical business is speeding up research-based outcomes at a formerly impossible scale. Arising modern technologies and progressed software application are assisting develop a lot more precise, organized, and accessible data possessions, which in turn are allowing researchers to deal with progressively complicated scientific obstacles. In particular, as a modular, interoperable, and adaptable platform, Factory has been utilized to sustain a diverse series of clinical researches with special study features, including AI-assisted therapies recognition, real-world proof generation, and much more.
In 2023, the sector has actually likewise seen a rapid growth in interest around using Artificial Intelligence (AI)– and in particular, generative AI and big language designs (LLM)– in the wellness and life scientific research domain names. Alongside other core technical advancements (e.g., around information quality and functionality), the possibility for AI-enabled software application to increase clinical research is much more encouraging than ever before. As a commercial leader in AI-enabled software application, Palantir has actually gone to the forefront of finding responsible, protected, and efficient means to apply AI-enabled abilities to sustain our partners throughout sectors in accomplishing their most important objectives.
Over the previous year, Palantir software helped drive vital elements of our partners’ research and we stand all set to continue working together with our companions in government, market, and civil society to deal with the most important obstacles in wellness and science ahead. In the next section, we provide concrete instances of how the power of software can help advance clinical research, highlighting some vital biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
In addition to a number of vital cancer and COVID treatment researches, Palantir Factory likewise enabled new findings in the more comprehensive field of research methodology. Listed below, we highlight an example of several of the most impactful peer-reviewed write-ups published in 2023 that utilized Palantir Factory to aid drive their research study.
Recognizing new reliable medicine combinations 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 : Several myeloma (MM) is often immune to medicine treatment, calling for continued exploration to recognize new, efficient therapeutic combinations. In this research, researchers made use of high-throughput drug testing to identify over 1900 substances with activity against at least 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million mixes were assessed in silico, and pairs of substances with extremely correlated activity across the 47 cell lines and different systems of activity were chosen for additional evaluation. Especially, six (6 medicine mixes were effective at 1 minimizing over-expression of an essential healthy protein (MYC) that is frequently linked to the manufacturing of deadly cells and 2 increased expression of the p 16 healthy protein, which can help the body suppress lump development. Furthermore, three (3 identified medication mixes enhanced chances of survival and lowered the growth of cancer cells, partially by reducing activity of paths involved in TGFβ/ SMAD signaling, which control the cell life process. These preclinical searchings for recognize possibly valuable unique medication mixes for hard to treat numerous myeloma.
New rank-based healthy protein category method to improve 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 usual sort of malignant brain lumps, differ substantially, limiting the capability to examine the organic factors that drive whether glioblastomas will respond to treatment. Nevertheless, information evaluation of the proteome– the entire collection of healthy proteins that can be revealed by the tumor– can 1 offer non-invasive approaches of categorizing glioblastomas to assist inform treatment and 2 recognize healthy protein biomarkers associated with interventions to evaluate response to treatment. In this study, researchers established and examined a novel rank-based weighting approach (“RadWise”) for protein features to assist ML algorithms focus on the one of the most pertinent elements that indicate post-therapy outcomes. RadWise uses a more reliable pathway to determine the healthy proteins and functions that can be key targets for treatment of these aggressive, fatal lumps.
Identifying liver cancer cells subtypes most likely to respond to immunotherapy
- Publication : 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer is a climbing root cause of cancer deaths in the United States. This research explored variation in client end results for a kind of immunotherapy making use of immune checkpoint preventions. Scientist noted that specific molecular subtypes of cancer cells, specified by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were connected to higher survival rates with immune checkpoint inhibitor treatment. Determining these molecular subtypes can help medical professionals determine whether an individual’s unique cancer is likely to reply to this sort of intervention, indicating they can apply more targeted use immunotherapy and improve chance of success.
Applying formulas to EHR data to presume pregnancy timing for even more precise mother’s wellness research study
- Magazine : JAMIA, Women’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., Hillside, E.L.
- Summary : There are signs that COVID- 19 can trigger maternity issues, and expecting individuals seem at higher risk for more severe COVID- 19 infection. Evaluation of wellness document (EHR) information can aid supply more insight, but as a result of data variances, it is usually challenging to identify 1 pregnancy begin and end dates and 2 gestational age of the infant at birth. To aid, researchers adjusted an existing algorithm for figuring out gestational age and pregnancy length that relies upon analysis codes and distribution dates. To increase the precision of this algorithm, the scientists layered on their own data-driven algorithms to exactly infer maternity begin, maternity end, and landmark time frames throughout a pregnancy’s development while additionally addressing EHR data variance. This method can be dependably utilized to make the fundamental reasoning of maternity timing and can be related to future maternity and maternity research on subjects such as unfavorable pregnancy results and mother’s death.
An unique technique for resolving EHR data high quality concerns for professional 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.
- Summary : Professional encounter data can be a rich resource for research, yet it often differs considerably throughout suppliers, facilities, and establishments, making it challenging to evenly evaluate. This incongruity is magnified when multisite electronic health record (EHR) information is networked with each other in a central data source. In this research, researchers developed a novel, generalizable technique for fixing clinical encounter data for analysis by integrating relevant encounters right into composite “macrovisits.” This methodology aids adjust and fix EHR encounter information concerns in a generalizable, repeatable method, permitting scientists to a lot more conveniently unlock the potential of this abundant data for large-scale studies.
Improving openness in phenotyping for Long COVID study and past
- Publication : Journal of the American Medical Informatics Organization
- 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 Recoup Consortia
- Summary : Phenotyping, the procedure of assessing and categorizing an organism’s attributes, can assist scientists much better understand the distinctions between individuals and teams of individuals, and to recognize certain attributes that may be connected to specific diseases or conditions. Machine learning (ML) can assist obtain phenotypes from information, however these are challenging to share and recreate due to their complexity. Researchers in this study created and educated an ML-based phenotype to identify individuals very possible to have Long COVID, a progressively urgent public wellness factor to consider, and revealed applicability of this method for various other settings. This is a success tale of just how clear innovation and cooperation can make phenotyping algorithms more accessible to a broad target market of researchers in informatics, lowering duplicated work and providing them with a tool to get to insights quicker, including for other illness.
Browsing obstacles for multisite real world data (RWD) databases
- Magazine : BMC Medical Research Study Approach
- 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
- Recap : Working with big range centralized EHR databases such as N 3 C for research study requires specialized understanding and cautious evaluation of information top quality and completeness. This research analyzes the procedure of examining data top quality to prepare for study, focusing on medicine effectiveness studies. Scientist determined a number of techniques and best methods to better characterize important study elements consisting of exposure to therapy, baseline health comorbidities, and crucial outcomes of interest. As huge range, streamlined real world data sources come to be more common, this is a handy progression in assisting scientists more effectively navigate their distinct information difficulties while opening critical applications for medication growth.
What’s Following for Health Research at Palantir
While 2023 saw important progression, the brand-new year brings with it new possibilities, in addition to an urgency to apply the current technical developments to the most important health and wellness problems dealing with people, neighborhoods, and the public at big. For instance, in 2023, the united state Government reaffirmed its commitment to combating systemic illness such as cancer, and also launched a brand-new health agency, the Advanced Research Study Projects Agency for Health ( ARPA-H
Additionally, in 2024, Palantir is pleased to be an industry companion in the innovative National AI Research Study Resource (NAIRR) pilot program , created under the auspices of the National Science Structure (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was guided by the Biden Management’s Exec Order on Expert System — Palantir will be working with its veteran partners at the National Institutes of Health And Wellness (NIH) and N 3 C to support research beforehand risk-free, safe and secure, and reliable AI, in addition to the application of AI to challenges in health care.
In 2024, we’re delighted to collaborate with partners, brand-new and old, on issues of essential relevance, using our understandings on data, devices, and research to help allow purposeful improvements in health results for all.
To read more regarding our proceeding work across health and life scientific researches, visit https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies