2023 in Evaluation
Wellness Research + Innovation: A Juncture
Palantir Factory has long been instrumental in accelerating the research study findings of our wellness and life scientific research companions, assisting attain extraordinary understandings, improve information gain access to, boost data usability, and promote innovative visualization and evaluation of data resources– all while shielding the privacy and safety of the support data
In 2023, Foundry sustained over 50 peer-reviewed magazines in prestigious journals, covering a diverse number of subjects– from medical facility procedures, to oncological medicines, to finding out techniques. The year prior, our software program supported a document variety of peer-reviewed magazines, which we highlighted in a prior article
Our partners’ foundational financial investments in technological infrastructure throughout the peak of the COVID- 19 pandemic has made the impressive amount of publications feasible.
Public and business health care partners have proactively scaled their investments in data sharing and research software program past COVID feedback to develop a much more detailed data foundation for biomedical research study. For instance, the N 3 C Enclave — which houses the information of 21 5 M people from across almost 100 institutions– is being used daily by countless researchers throughout agencies and companies. Given the intricacy of accessing, arranging, and harnessing ever-expanding biomedical data, the demand for comparable study sources remains to climb.
In this article, we take a closer take a look at some significant magazines from 2023 and analyze what exists in advance for software-backed research study.
Emerging Modern Technology and the Velocity of Scientific Research
The impact of new modern technologies on the scientific business is accelerating research-based outcomes at a formerly difficult range. Emerging modern technologies and advanced software are helping create extra exact, organized, and available information properties, which in turn are permitting scientists to deal with increasingly intricate scientific challenges. Particularly, as a modular, interoperable, and adaptable system, Factory has been used to support a diverse variety of clinical researches with one-of-a-kind research functions, including AI-assisted rehabs identification, real-world evidence generation, and a lot more.
In 2023, the market has also seen a rapid development in interest around making use of Artificial Intelligence (AI)– and particularly, generative AI and huge language versions (LLM)– in the health and life scientific research domains. Along with various other core technical developments (e.g., around information top quality and usability), the potential for AI-enabled software application to speed up scientific research is much more promising than ever before. As an industrial leader in AI-enabled software program, Palantir has actually been at the center of searching for liable, safe and secure, and effective methods to apply AI-enabled abilities to sustain our partners throughout sectors in accomplishing their most important missions.
Over the past year, Palantir software program assisted drive crucial components of our partners’ research study and we stand ready to continue collaborating with our partners in government, sector, and civil culture to deal with one of the most important challenges in wellness and science ahead. In the following section, we give concrete instances of exactly how the power of software program can aid breakthrough scientific study, highlighting some essential biomedical publications powered by Factory in 2023
2023 Publications Powered by Palantir Factory
Along with a variety of important cancer cells and COVID treatment researches, Palantir Shop also enabled new searchings for in the wider field of research methodology. Listed below, we highlight an example of a few of one of the most impactful peer-reviewed articles published in 2023 that made use of Palantir Shop to help drive their study.
Identifying brand-new reliable medicine mixes for several myeloma
- Magazine : 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.
- Summary : Multiple myeloma (MM) is frequently resistant to medication therapy, requiring continued exploration to determine new, effective restorative combinations. In this research, researchers made use of high-throughput drug screening to identify over 1900 substances with activity against a minimum of 25 of the 47 MM cell lines checked. From these 1900 substances, 3 61 million combinations were examined in silico, and pairs of compounds with highly correlated task throughout the 47 cell lines and different devices of action were picked for additional evaluation. Specifically, 6 (6 medication combinations were effective at 1 decreasing over-expression of a key protein (MYC) that is frequently linked to the production of deadly cells and 2 raised expression of the p 16 healthy protein, which can aid the body subdue lump growth. Additionally, three (3 recognized drug combinations increased chances of survival and decreased the development of cancer cells, partly by lowering activity of paths involved in TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings determine possibly helpful novel drug mixes for difficult to treat several myeloma.
New rank-based healthy protein category method to enhance glioblastoma treatment
- Magazine : Cancers
- Authors : 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 growths, vary considerably, limiting the capability to assess the biological elements that drive whether glioblastomas will certainly reply to therapy. Nonetheless, data evaluation of the proteome– the whole collection of proteins that can be shared by the growth– can 1 offer non-invasive techniques of classifying glioblastomas to aid educate therapy and 2 recognize protein biomarkers related to interventions to assess reaction to therapy. In this study, researchers established and tested an unique rank-based weighting approach (“RadWise”) for protein features to aid ML algorithms concentrate on the one of the most pertinent aspects that suggest post-therapy outcomes. RadWise uses a more reliable path to recognize the proteins and attributes that can be key targets for therapy of these hostile, fatal growths.
Identifying liver cancer subtypes likely to reply to immunotherapy
- Magazine : Cell Records Medication
- 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 an increasing cause of cancer cells fatalities in the US. This research examined variant in person results for a type of immunotherapy utilizing immune checkpoint preventions. Scientist kept in mind that specific molecular subtypes of cancer, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival rates with immune checkpoint prevention treatment. Identifying these molecular subtypes can help doctors recognize whether an individual’s one-of-a-kind cancer cells is likely to reply to this kind of treatment, implying they can use much more targeted use of immunotherapy and boost chance of success.
Applying algorithms to EHR information to infer maternity timing for more precise mother’s health 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., Hill, E.L.
- Summary : There are signs that COVID- 19 can cause pregnancy problems, and expectant persons seem at greater risk for extra extreme COVID- 19 infection. Analysis of health and wellness document (EHR) information can assist supply even more understanding, yet due to information variances, it is typically challenging to establish 1 pregnancy beginning and end dates and 2 gestational age of the infant at birth. To assist, researchers adjusted an existing algorithm for determining gestational age and pregnancy size that relies upon analysis codes and delivery days. To increase the precision of this algorithm, the scientists layered on their own data-driven formulas to exactly infer maternity start, pregnancy end, and landmark time frames throughout a pregnancy’s progression while also attending to EHR data variance. This approach can be accurately utilized to make the fundamental reasoning of maternity timing and can be related to future maternity and pregnancy research on subjects such as adverse maternity outcomes and mother’s death.
A novel approach for settling EHR data high quality issues for professional 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.
- Recap : Professional experience information can be a rich source for research, yet it frequently varies significantly throughout carriers, centers, and establishments, making it tough to uniformly assess. This incongruity is amplified when multisite electronic health and wellness document (EHR) information is networked together in a central database. In this study, researchers developed an unique, generalizable technique for resolving clinical experience information for analysis by integrating associated encounters into composite “macrovisits.” This methodology helps control and deal with EHR experience data problems in a generalizable, repeatable means, permitting scientists to extra quickly unlock the possibility of this rich data for large research studies.
Improving transparency in phenotyping for Long COVID research 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 RECOVER Consortia
- Summary : Phenotyping, the procedure of evaluating and classifying an organism’s characteristics, can help researchers much better recognize the distinctions in between individuals and groups of individuals, and to determine specific characteristics that may be linked to certain diseases or conditions. Machine learning (ML) can assist derive phenotypes from data, but these are challenging to share and replicate as a result of their complexity. Scientists in this research developed and educated an ML-based phenotype to recognize patients very potential to have Long COVID, a progressively urgent public health and wellness factor to consider, and showed applicability of this approach for various other environments. This is a success tale of how transparent innovation and partnership can make phenotyping formulas much more available to a broad audience of researchers in informatics, reducing copied job and offering them with a device to get to insights quicker, consisting of for other diseases.
Browsing challenges for multisite real life information (RWD) databases
- Magazine : BMC Medical Research Technique
- 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 : Collaborating with big range streamlined EHR data sources such as N 3 C for research needs specialized understanding and cautious evaluation of information quality and completeness. This research study takes a look at the process of examining data top quality in preparation for study, focusing on medicine efficacy researches. Researchers recognized several techniques and best methods to much better identify essential research components consisting of exposure to therapy, baseline wellness comorbidities, and vital outcomes of passion. As huge range, centralized real world data sources end up being much more common, this is a handy progression in aiding researchers better browse their distinct data challenges while opening essential applications for medication development.
What’s Next for Wellness Study at Palantir
While 2023 saw vital development, the brand-new year brings with it brand-new possibilities, along with a seriousness to use the most up to date technical advancements to the most important health and wellness concerns facing people, neighborhoods, and the public at large. For instance, in 2023, the U.S. Government declared its dedication to combating systemic diseases such as cancer, and even launched a brand-new health agency, the Advanced Research Study Projects Company for Health And Wellness ( ARPA-H
Moreover, in 2024, Palantir is happy to be a sector partner in the ingenious National AI Research Study Source (NAIRR) pilot program , developed under the auspices of the National Science Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was guided by the Biden Management’s Executive Order on Expert System — Palantir will certainly be working with its veteran companions at the National Institutes of Wellness (NIH) and N 3 C to support study in advancing secure, secure, and trustworthy AI, along with the application of AI to challenges in healthcare.
In 2024, we’re excited to deal with companions, new and old, on issues of important importance, using our understandings on information, tools, and research to assist enable purposeful enhancements in health end results for all.
For more information about our proceeding job throughout wellness and life scientific researches, see https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies