2023 in Testimonial
Health And Wellness Research Study + Innovation: A Juncture
Palantir Shop has actually long been instrumental in speeding up the research searchings for of our health and life science partners, aiding achieve extraordinary insights, improve data accessibility, enhance data usability, and assist in sophisticated visualization and analysis of information sources– all while protecting the privacy and protection of the backing information
In 2023, Foundry sustained over 50 peer-reviewed publications in renowned journals, covering a varied variety of subjects– from healthcare facility procedures, to oncological medications, to finding out techniques. The year prior, our software supported a document number of peer-reviewed publications, which we highlighted in a previous article
Our companions’ foundational investments in technical framework throughout the peak of the COVID- 19 pandemic has made the impressive quantity of magazines possible.
Public and business health care partners have actually proactively scaled their investments in information sharing and research software application past COVID action to construct a more extensive data structure for biomedical research. For instance, the N 3 C Enclave — which houses the data of 21 5 M patients from throughout practically 100 establishments– is being made use of daily by countless researchers across companies and organizations. Provided the intricacy of accessing, organizing, and using ever-expanding biomedical data, the demand for comparable research resources remains to increase.
In this post, we take a closer check out some notable publications from 2023 and examine what exists ahead for software-backed research.
Emerging Modern Technology and the Acceleration of Scientific Study
The effect of new innovations on the clinical enterprise is speeding up research-based results at a previously impossible scale. Arising technologies and progressed software are aiding develop a lot more precise, organized, and easily accessible information properties, which in turn are enabling researchers to take on increasingly complicated clinical difficulties. Specifically, as a modular, interoperable, and adaptable platform, Factory has been used to support a diverse variety of scientific studies with special research study features, consisting of AI-assisted therapies identification, real-world proof generation, and a lot more.
In 2023, the industry has also seen a rapid development in rate of interest around utilizing Expert system (AI)– and in particular, generative AI and huge language designs (LLM)– in the health and wellness and life scientific research domain names. Alongside other core technical improvements (e.g., around information quality and functionality), the potential for AI-enabled software to increase scientific research study is much more encouraging than ever before. As a commercial leader in AI-enabled software, Palantir has gone to the leading edge of finding responsible, safe, and efficient ways to apply AI-enabled abilities to support our companions throughout markets in achieving their most important goals.
Over the previous year, Palantir software helped drive vital parts of our companions’ study and we stand all set to continue collaborating with our companions in government, sector, and civil culture to deal with one of the most pressing challenges in health and wellness and scientific research in advance. In the next section, we provide concrete examples of exactly how the power of software application can assist development clinical study, highlighting some key biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Shop
In addition to a number of vital cancer cells and COVID therapy studies, Palantir Shop additionally made it possible for brand-new findings in the broader area of study methodology. Below, we highlight a sample of a few of the most impactful peer-reviewed short articles published in 2023 that utilized Palantir Factory to aid drive their research.
Determining new efficient medication combinations for numerous myeloma
- Publication : Cancer Letters
- Writers : 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 often resistant to medication treatment, requiring ongoing exploration to determine brand-new, reliable therapeutic combinations. In this research, researchers utilized high-throughput drug screening to identify over 1900 substances with activity versus at the very least 25 of the 47 MM cell lines checked. From these 1900 compounds, 3 61 million mixes were reviewed in silico, and sets of substances with very associated task across the 47 cell lines and various systems of activity were selected for more evaluation. Especially, six (6 medication combinations worked at 1 decreasing over-expression of a crucial protein (MYC) that is commonly connected to the manufacturing of malignant cells and 2 enhanced expression of the p 16 protein, which can aid the body reduce tumor development. Furthermore, three (3 identified medication mixes raised chances of survival and lowered the growth of cancer cells, partly by minimizing activity of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for determine possibly helpful unique medication combinations for hard to deal with multiple myeloma.
New rank-based healthy protein category technique to boost glioblastoma treatment
- Publication : Cancers cells
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, the most common type of malignant mind tumors, differ greatly, limiting the ability to evaluate the organic elements that drive whether glioblastomas will respond to treatment. However, data evaluation of the proteome– the entire set of healthy proteins that can be expressed by the lump– can 1 offer non-invasive approaches of classifying glioblastomas to aid inform treatment and 2 determine healthy protein biomarkers associated with treatments to review feedback to therapy. In this research, scientists created and tested a novel rank-based weighting approach (“RadWise”) for protein features to help ML algorithms focus on the the most pertinent elements that suggest post-therapy end results. RadWise provides a much more reliable path to determine the proteins and features that can be crucial targets for treatment of these hostile, fatal tumors.
Determining liver cancer 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., Detector, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer cells is a climbing source of cancer cells deaths in the United States. This research study explored variant in person results for a kind of immunotherapy making use of immune checkpoint preventions. Researchers kept in mind that particular molecular subtypes of cancer, specified by 1 the aggression of cancer and 2 the microenvironment of the cancer cells, were linked to greater survival prices with immune checkpoint prevention treatment. Identifying these molecular subtypes can aid physicians identify whether a person’s one-of-a-kind cancer cells is likely to react to this sort of intervention, indicating they can apply a lot more targeted use immunotherapy and improve probability of success.
Using formulas to EHR information to infer pregnancy timing for more precise mother’s health research
- Publication : JAMIA, Women’s Health and wellness 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.
- Recap : There are signs that COVID- 19 can create pregnancy difficulties, and expecting persons appear to be at higher risk for a lot more severe COVID- 19 infection. Analysis of health document (EHR) information can help provide even more insight, however as a result of information incongruities, it is usually tough to identify 1 maternity start and end dates and 2 gestational age of the infant at birth. To aid, researchers adjusted an existing formula for determining gestational age and maternity size that relies upon analysis codes and distribution dates. To boost the accuracy of this algorithm, the researchers layered by themselves data-driven formulas to specifically presume pregnancy start, maternity end, and spots amount of time throughout a pregnancy’s progression while additionally attending to EHR information variance. This technique can be reliably utilized to make the fundamental inference of maternity timing and can be put on future maternity and maternity study on subjects such as negative pregnancy end results and maternal mortality.
A novel method for resolving EHR information top quality concerns for clinical encounters
- 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.
- Summary : Medical encounter data can be a rich resource for study, however it commonly varies greatly throughout service providers, centers, and organizations, making it challenging to evenly examine. This inconsistency is magnified when multisite digital health and wellness document (EHR) information is networked with each other in a central database. In this research, scientists established an unique, generalizable approach for settling medical encounter information for evaluation by incorporating relevant experiences into composite “macrovisits.” This approach assists manipulate and deal with EHR encounter data issues in a generalizable, repeatable method, enabling scientists to a lot more quickly unlock the possibility of this rich data for large studies.
Improving transparency in phenotyping for Long COVID research and past
- 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 RECOVER Consortia
- Summary : Phenotyping, the process of reviewing and categorizing a microorganism’s attributes, can assist scientists better recognize the distinctions in between people and groups of individuals, and to identify specific qualities that may be linked to particular diseases or conditions. Artificial intelligence (ML) can aid acquire phenotypes from information, but these are testing to share and duplicate because of their intricacy. Researchers in this research study devised and trained an ML-based phenotype to recognize individuals highly probable to have Long COVID, a progressively urgent public wellness consideration, and showed applicability of this method for other environments. This is a success tale of exactly how transparent technology and collaboration can make phenotyping formulas much more accessible to a wide audience of scientists in informatics, lowering copied work and supplying them with a device to get to insights faster, including for other illness.
Browsing challenges for multisite real world data (RWD) data sources
- Magazine : BMC Medical Research Study Technique
- 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
- Summary : Working with large range centralized EHR databases such as N 3 C for study calls for specialized understanding and mindful assessment of information high quality and efficiency. This research analyzes the procedure of assessing data quality to prepare for research study, focusing on medication efficiency researches. Researchers recognized numerous methods and ideal practices to better identify important study elements consisting of exposure to treatment, baseline health and wellness comorbidities, and key outcomes of interest. As huge scale, streamlined real life databases end up being more prevalent, this is a handy progression in aiding scientists more effectively navigate their special data challenges while opening critical applications for medicine advancement.
What’s Following for Wellness Study at Palantir
While 2023 saw vital progress, the new year brings with it brand-new opportunities, as well as an urgency to use the most recent technical developments to one of the most vital wellness problems facing individuals, neighborhoods, and the public at big. For example, in 2023, the U.S. Federal government declared its dedication to combating systemic conditions such as cancer cells, and even launched a brand-new health firm, the Advanced Research Projects Firm for Health And Wellness ( ARPA-H
Additionally, in 2024, Palantir is happy to be a market partner in the cutting-edge National AI Research Resource (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 routed by the Biden Administration’s Executive Order on Expert System — Palantir will certainly be dealing with its long-time companions at the National Institutes of Health (NIH) and N 3 C to support research study ahead of time risk-free, safe and secure, and reliable AI, along with the application of AI to difficulties in medical care.
In 2024, we’re thrilled to work with partners, new and old, on concerns of essential value, applying our understandings on data, tools, and research to aid make it possible for purposeful improvements in health results for all.
To find out more concerning our continuing job across health and wellness and life scientific researches, go to https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies