2023 in Review
Wellness Research Study + Modern Technology: A Transition
Palantir Factory has long been instrumental in accelerating the research findings of our health and life scientific research companions, aiding accomplish extraordinary insights, enhance information gain access to, improve information use, and help with advanced visualization and analysis of information resources– all while securing the privacy and safety and security of the support data
In 2023, Shop sustained over 50 peer-reviewed publications in prestigious journals, covering a diverse variety of subjects– from medical facility operations, to oncological medicines, to learning modalities. The year prior, our software application supported a record variety of peer-reviewed publications, which we highlighted in a prior blog post
Our companions’ fundamental investments in technical infrastructure throughout the peak of the COVID- 19 pandemic has actually made the remarkable amount of magazines feasible.
Public and commercial healthcare partners have actually proactively scaled their investments in information sharing and research study software program beyond COVID feedback to build a much more extensive data foundation for biomedical study. For example, the N 3 C Enclave — which houses the data of 21 5 M patients from throughout nearly 100 institutions– is being utilized daily by countless researchers across companies and companies. Offered the complexity of accessing, organizing, and using ever-expanding biomedical information, the need for similar research study resources continues to increase.
In this blog post, we take a closer check out some notable magazines from 2023 and analyze what exists ahead for software-backed research.
Arising Modern Technology and the Velocity of Scientific Study
The impact of brand-new innovations on the clinical venture is increasing research-based results at a formerly difficult scale. Emerging innovations and progressed software program are assisting develop more specific, arranged, and available information properties, which subsequently are enabling researchers to tackle significantly complicated scientific obstacles. Specifically, as a modular, interoperable, and flexible system, Factory has been utilized to support a diverse series of scientific researches with unique research functions, consisting of AI-assisted therapeutics recognition, real-world proof generation, and a lot more.
In 2023, the market has actually likewise seen an exponential growth in passion around utilizing Expert system (AI)– and in particular, generative AI and big language versions (LLM)– in the wellness and life science domain names. Together with various other core technical developments (e.g., around data high quality and usability), the capacity for AI-enabled software to increase clinical research is much more appealing than ever before. As an industrial leader in AI-enabled software application, Palantir has gone to the center of finding accountable, secure, and effective means to apply AI-enabled abilities to sustain our partners across markets in achieving their essential missions.
Over the previous year, Palantir software aided drive vital components of our companions’ study and we stand ready to proceed collaborating with our companions in federal government, market, and civil culture to deal with one of the most important difficulties in wellness and science ahead. In the following section, we provide concrete examples of just how the power of software program can help breakthrough scientific research, highlighting some vital biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Shop
Along with a variety of vital cancer cells and COVID therapy researches, Palantir Foundry additionally enabled brand-new searchings for in the more comprehensive area of study technique. Listed below, we highlight a sample of a few of one of the most impactful peer-reviewed short articles released in 2023 that made use of Palantir Shop to help drive their study.
Recognizing new reliable drug combinations for several myeloma
- Publication : 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 regularly resistant to drug treatment, calling for ongoing expedition to identify new, efficient restorative mixes. In this study, scientists utilized high-throughput medicine screening to identify over 1900 compounds with task against a minimum of 25 of the 47 MM cell lines evaluated. From these 1900 compounds, 3 61 million combinations were examined in silico, and sets of compounds with extremely correlated task throughout the 47 cell lines and different systems of activity were selected for additional evaluation. Specifically, six (6 medication mixes worked at 1 reducing over-expression of a vital protein (MYC) that is commonly connected to the manufacturing of deadly cells and 2 enhanced expression of the p 16 protein, which can help the body suppress tumor development. Furthermore, 3 (3 identified medication combinations enhanced chances of survival and decreased the growth of cancer cells, in part by reducing task of pathways involved in TGFβ/ SMAD signaling, which control the cell life cycle. These preclinical searchings for determine potentially useful novel drug combinations for difficult to treat several myeloma.
New rank-based protein category approach to enhance glioblastoma therapy
- 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 type of malignant brain lumps, differ greatly, limiting the ability to evaluate the biological aspects that drive whether glioblastomas will react to treatment. Nevertheless, information analysis of the proteome– the whole collection of healthy proteins that can be expressed by the lump– can 1 deal non-invasive techniques of identifying glioblastomas to aid educate therapy and 2 determine protein biomarkers related to interventions to review action to treatment. In this research, scientists developed and examined a novel rank-based weighting method (“RadWise”) for healthy protein includes to aid ML algorithms concentrate on the the most pertinent elements that suggest post-therapy results. RadWise provides an extra reliable pathway to recognize the healthy proteins and attributes that can be key targets for therapy of these hostile, fatal lumps.
Determining liver cancer cells subtypes most likely to react to immunotherapy
- Magazine : 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 rising root cause of cancer cells deaths in the US. This research study investigated variation in person end results for a type of immunotherapy making use of immune checkpoint preventions. Scientist noted that specific molecular subtypes of cancer cells, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival prices with immune checkpoint prevention therapy. Determining these molecular subtypes can aid physicians determine whether a client’s distinct cancer cells is likely to react to this kind of treatment, implying they can apply a lot more targeted use immunotherapy and enhance probability of success.
Using algorithms to EHR information to infer pregnancy timing for even more exact maternal wellness research study
- Publication : 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.
- Recap : There are signs that COVID- 19 can trigger maternity issues, and expectant individuals seem at greater threat for extra severe COVID- 19 infection. Analysis of health document (EHR) data can assist give even more insight, however because of information disparities, it is commonly difficult to ascertain 1 pregnancy beginning and end dates and 2 gestational age of the child at birth. To assist, researchers adjusted an existing formula for identifying gestational age and maternity length that counts on diagnostic codes and delivery dates. To increase the accuracy of this algorithm, the researchers layered by themselves data-driven algorithms to specifically presume maternity beginning, maternity end, and landmark time frames throughout a maternity’s progression while likewise resolving EHR data inconsistency. This method can be reliably used to make the foundational inference of pregnancy timing and can be put on future pregnancy and maternal research study on topics such as negative maternity results and mother’s mortality.
An unique method for resolving EHR data top quality problems for professional encounters
- Publication : 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 : Clinical experience data can be a rich resource for research, but it often differs substantially throughout suppliers, centers, and establishments, making it tough to consistently evaluate. This disparity is multiplied when multisite electronic wellness document (EHR) information is networked with each other in a central database. In this research study, researchers created an unique, generalizable technique for settling medical experience information for analysis by combining related encounters into composite “macrovisits.” This method helps adjust and settle EHR experience data problems in a generalizable, repeatable way, permitting scientists to more quickly open the possibility of this abundant data for large research studies.
Improving openness in phenotyping for Long COVID study and beyond
- Magazine : 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 Recoup Consortia
- Recap : Phenotyping, the procedure of examining and classifying an organism’s features, can help scientists better comprehend the differences between individuals and teams of people, and to determine details characteristics that may be linked to specific illness or problems. Machine learning (ML) can assist derive phenotypes from information, yet these are challenging to share and replicate as a result of their complexity. Researchers in this research created and trained an ML-based phenotype to recognize clients highly possible to have Long COVID, a progressively urgent public wellness factor to consider, and revealed applicability of this method for other environments. This is a success tale of exactly how transparent modern technology and partnership can make phenotyping formulas extra available to a broad target market of researchers in informatics, minimizing copied job and providing them with a device to reach insights quicker, consisting of for other illness.
Browsing challenges for multisite real life data (RWD) data sources
- Publication : BMC Medical Research Study Approach
- 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
- Summary : Working with large range centralized EHR data sources such as N 3 C for research study requires specialized understanding and careful analysis of information top quality and efficiency. This study analyzes the procedure of assessing information high quality to prepare for research, focusing on medication efficacy researches. Scientist recognized a number of methods and ideal techniques to better identify essential research components consisting of direct exposure to treatment, baseline wellness comorbidities, and essential end results of interest. As big scale, centralized real life databases end up being more widespread, this is a practical advance in aiding researchers more effectively browse their special data challenges while unlocking critical applications for medication growth.
What’s Next for Health And Wellness Research at Palantir
While 2023 saw crucial development, the new year brings with it brand-new opportunities, in addition to a necessity to apply the latest technical improvements to one of the most essential health and wellness issues dealing with people, neighborhoods, and the public at big. For instance, in 2023, the U.S. Federal government declared its commitment to combating systemic illness such as cancer, and even launched a brand-new health firm, the Advanced Study Projects Agency for Wellness ( ARPA-H
Furthermore, in 2024, Palantir is pleased to be a market companion in the innovative National AI Research Study Source (NAIRR) pilot program , developed under the auspices of the National Science Foundation (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was directed by the Biden Administration’s Exec Order on Expert System — Palantir will certainly be dealing with its veteran companions at the National Institutes of Wellness (NIH) and N 3 C to sustain research in advancing secure, safe, and credible AI, along with the application of AI to difficulties in medical care.
In 2024, we’re thrilled to work with partners, brand-new and old, on issues of crucial significance, using our understandings on data, devices, and research study to aid allow meaningful enhancements in health results for all.
To get more information concerning our proceeding work across wellness and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies