2023 in Review
Health Study + Technology: A Juncture
Palantir Shop has actually long contributed in accelerating the study searchings for of our health and wellness and life scientific research partners, aiding attain unprecedented understandings, streamline data gain access to, improve data use, and assist in sophisticated visualization and evaluation of data sources– all while protecting the privacy and safety and security of the backing information
In 2023, Foundry supported over 50 peer-reviewed publications in esteemed journals, covering a diverse variety of subjects– from healthcare facility operations, to oncological drugs, to finding out modalities. The year prior, our software supported a record variety of peer-reviewed magazines, which we highlighted in a prior post
Our partners’ fundamental financial investments in technical facilities throughout the peak of the COVID- 19 pandemic has actually made the remarkable amount of publications feasible.
Public and commercial health care companions have proactively scaled their financial investments in information sharing and research software past COVID action to develop an extra detailed data foundation for biomedical study. For instance, the N 3 C Enclave — which houses the data of 21 5 M people from across almost 100 establishments– is being utilized day-to-day by hundreds of researchers across agencies and companies. Offered the complexity of accessing, organizing, and utilizing ever-expanding biomedical data, the demand for comparable research study resources remains to increase.
In this article, we take a closer look at some noteworthy magazines from 2023 and examine what lies ahead for software-backed research.
Emerging Modern Technology and the Velocity of Scientific Research
The effect of brand-new technologies on the scientific venture is accelerating research-based outputs at a formerly difficult range. Emerging innovations and advanced software program are aiding develop extra accurate, arranged, and accessible information possessions, which in turn are permitting researchers to deal with increasingly complex scientific obstacles. Particularly, as a modular, interoperable, and flexible system, Factory has been made use of to sustain a diverse range of scientific research studies with unique research features, including AI-assisted therapies identification, real-world proof generation, and much more.
In 2023, the market has actually also seen a rapid development in passion around using Artificial Intelligence (AI)– and in particular, generative AI and huge language versions (LLM)– in the health and wellness and life science domain names. Together with other core technological innovations (e.g., around data high quality and use), the capacity for AI-enabled software application to accelerate scientific study is more encouraging than ever. As an industrial leader in AI-enabled software program, Palantir has been at the center of searching for liable, protected, and efficient ways to apply AI-enabled abilities to sustain our companions throughout industries in achieving their most important objectives.
Over the past year, Palantir software program helped drive vital elements of our companions’ research and we stand prepared to proceed collaborating with our partners in government, sector, and civil culture to tackle one of the most pressing difficulties in health and wellness and science in advance. In the next section, we give concrete examples of just how the power of software application can aid development scientific study, highlighting some essential biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
In addition to a number of essential cancer cells and COVID therapy research studies, Palantir Foundry likewise made it possible for brand-new findings in the more comprehensive field of research study approach. Listed below, we highlight a sample of a few of one of the most impactful peer-reviewed posts released in 2023 that used Palantir Foundry to help drive their research.
Recognizing brand-new efficient drug 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 : Multiple myeloma (MM) is often resistant to drug therapy, calling for ongoing expedition to recognize new, reliable restorative mixes. In this study, scientists made use of high-throughput medication testing to recognize over 1900 substances with activity versus at least 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million mixes were examined in silico, and pairs of substances with highly associated activity throughout the 47 cell lines and different devices of action were chosen for additional analysis. Especially, six (6 drug mixes worked at 1 minimizing over-expression of a vital protein (MYC) that is usually connected to the manufacturing of deadly cells and 2 enhanced expression of the p 16 protein, which can help the body suppress lump growth. In addition, 3 (3 recognized medicine mixes increased chances of survival and lowered the growth of cancer cells, partially by lowering activity of pathways associated with TGFβ/ SMAD signaling, which control the cell life process. These preclinical searchings for identify possibly helpful unique medicine mixes for hard to deal with several myeloma.
New rank-based protein classification method to boost glioblastoma therapy
- Magazine : Cancers
- 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 usual sort of malignant brain tumors, differ considerably, limiting the capability to assess the biological aspects that drive whether glioblastomas will certainly respond to treatment. However, data analysis of the proteome– the whole collection of healthy proteins that can be shared by the tumor– can 1 offer non-invasive approaches of categorizing glioblastomas to help notify therapy and 2 recognize healthy protein biomarkers related to interventions to assess action to treatment. In this research, scientists created and checked an unique rank-based weighting approach (“RadWise”) for protein includes to aid ML algorithms concentrate on the the most pertinent elements that indicate post-therapy outcomes. RadWise offers a more effective pathway to determine the proteins and features that can be crucial targets for treatment of these aggressive, fatal tumors.
Identifying liver cancer subtypes most likely to react to immunotherapy
- Publication : 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., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is a climbing root cause of cancer fatalities in the US. This study investigated variation in patient outcomes for a kind of immunotherapy utilizing immune checkpoint preventions. Scientist kept in mind that certain molecular subtypes of cancer cells, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention therapy. Recognizing these molecular subtypes can assist physicians determine whether a patient’s unique cancer is most likely to reply to this kind of intervention, meaning they can apply a lot more targeted use of immunotherapy and improve likelihood of success.
Applying algorithms to EHR information to presume maternity timing for more accurate mother’s health research
- Magazine : JAMIA, Women’s Health Special Edition
- Authors : 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 indications that COVID- 19 can create maternity problems, and expecting individuals appear to be at greater threat for more serious COVID- 19 infection. Evaluation of health and wellness record (EHR) information can aid provide even more insight, but as a result of information variances, it is often difficult to determine 1 pregnancy start and end days and 2 gestational age of the infant at birth. To help, scientists adjusted an existing algorithm for establishing gestational age and pregnancy size that relies on diagnostic codes and delivery dates. To enhance the accuracy of this algorithm, the scientists layered on their own data-driven formulas to specifically infer maternity beginning, maternity end, and landmark timespan throughout a pregnancy’s development while likewise attending to EHR data variance. This approach can be reliably utilized to make the fundamental inference of pregnancy timing and can be applied to future maternity and maternal research on topics such as unfavorable maternity end results and maternal death.
A novel technique for solving EHR data top quality issues for professional experiences
- Publication : 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 information can be a rich source for research, however it commonly differs considerably throughout suppliers, centers, and institutions, making it difficult to uniformly evaluate. This variance is magnified when multisite digital wellness document (EHR) information is networked with each other in a central database. In this research, researchers developed an unique, generalizable approach for resolving medical experience information for evaluation by combining relevant encounters into composite “macrovisits.” This method assists adjust and solve EHR experience data issues in a generalizable, repeatable method, permitting scientists to extra quickly open the possibility of this abundant data for massive studies.
Improving transparency in phenotyping for Long COVID study and beyond
- Publication : 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 process of evaluating and categorizing an organism’s attributes, can assist researchers much better recognize the distinctions between people and teams of people, and to recognize particular traits that may be linked to specific illness or conditions. Artificial intelligence (ML) can assist acquire phenotypes from data, yet these are testing to share and duplicate due to their intricacy. Scientists in this research study designed and trained an ML-based phenotype to identify people highly possible to have Lengthy COVID, a significantly immediate public wellness factor to consider, and showed applicability of this method for other atmospheres. This is a success story of exactly how clear innovation and collaboration can make phenotyping algorithms extra obtainable to a broad audience of researchers in informatics, reducing copied job and offering them with a device to get to insights faster, consisting of for other diseases.
Navigating challenges for multisite real world information (RWD) databases
- Publication : BMC Medical 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
- Recap : Dealing with big range centralized EHR data sources such as N 3 C for research needs specialized expertise and careful examination of data top quality and completeness. This research study analyzes the process of assessing information quality in preparation for research study, focusing on medicine efficacy researches. Scientist determined numerous techniques and ideal practices to better identify crucial research components including direct exposure to therapy, baseline health comorbidities, and key end results of rate of interest. As big range, centralized real world data sources come to be more prevalent, this is a handy advance in aiding scientists more effectively browse their unique information challenges while unlocking critical applications for medicine development.
What’s Following for Health Research at Palantir
While 2023 saw crucial progression, the new year brings with it brand-new possibilities, as well as an urgency to apply the most up to date technical innovations to the most vital wellness concerns encountering individuals, areas, and the general public at big. For example, in 2023, the U.S. Federal government declared its commitment to combating systemic conditions such as cancer, and also launched a new wellness firm, the Advanced Research Projects Firm for Health And Wellness ( ARPA-H
Additionally, in 2024, Palantir is honored to be an industry companion in the ingenious National AI Research Source (NAIRR) pilot program , produced 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 guided by the Biden Administration’s Executive Order on Artificial Intelligence — Palantir will be collaborating with its long-time partners at the National Institutes of Health (NIH) and N 3 C to sustain research study ahead of time secure, safe and secure, and credible AI, as well as the application of AI to difficulties in healthcare.
In 2024, we’re excited to collaborate with companions, brand-new and old, on concerns of critical value, applying our learnings on data, devices, and research to assist make it possible for purposeful improvements in health outcomes for all.
To learn more about our proceeding job across health and life scientific researches, visit https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies