2023 in Testimonial
Wellness Study + Modern Technology: A Juncture
Palantir Factory has actually long been instrumental in accelerating the study searchings for of our health and wellness and life science partners, helping achieve extraordinary insights, simplify data access, improve information use, and help with sophisticated visualization and evaluation of information sources– all while protecting the personal privacy and protection of the backing information
In 2023, Foundry sustained over 50 peer-reviewed magazines in renowned journals, covering a diverse variety of subjects– from healthcare facility procedures, to oncological drugs, to finding out methods. The year prior, our software program supported a record number of peer-reviewed publications, which we highlighted in a prior post
Our companions’ fundamental investments in technological framework during the optimal of the COVID- 19 pandemic has made the outstanding quantity of publications possible.
Public and industrial healthcare companions have proactively scaled their investments in information sharing and research study software application beyond COVID reaction to develop an extra extensive information foundation for biomedical study. For example, the N 3 C Enclave — which houses the information of 21 5 M people from across virtually 100 organizations– is being utilized day-to-day by thousands of researchers across firms and organizations. Provided the intricacy of accessing, arranging, and taking advantage of ever-expanding biomedical data, the need for similar research sources continues to increase.
In this article, we take a closer look at some significant magazines from 2023 and examine what lies in advance for software-backed research.
Arising Innovation and the Velocity of Scientific Research
The influence of new technologies on the scientific enterprise is speeding up research-based outputs at a formerly impossible range. Emerging technologies and progressed software application are aiding develop more specific, arranged, and available data properties, which subsequently are allowing researchers to tackle progressively intricate clinical obstacles. In particular, as a modular, interoperable, and flexible system, Foundry has actually been made use of to support a varied range of clinical researches with unique study functions, consisting of AI-assisted rehabs identification, real-world proof generation, and a lot more.
In 2023, the market has also seen a rapid development in passion around utilizing Artificial Intelligence (AI)– and in particular, generative AI and large language designs (LLM)– in the health and wellness and life scientific research domains. Alongside other core technical advancements (e.g., around information quality and usability), the capacity for AI-enabled software application to increase scientific research study is much more appealing than ever. As an industrial leader in AI-enabled software application, Palantir has been at the leading edge of searching for accountable, safe and secure, and effective methods to apply AI-enabled capacities to support our companions throughout markets in accomplishing their essential objectives.
Over the previous year, Palantir software aided drive key elements of our partners’ research and we stand ready to proceed collaborating with our partners in federal government, market, and civil society to take on one of the most important difficulties in health and science ahead. In the next area, we give concrete examples of exactly how the power of software can help advance scientific research, highlighting some crucial biomedical magazines powered by Factory in 2023
2023 Publications Powered by Palantir Foundry
In addition to a variety of crucial cancer cells and COVID therapy studies, Palantir Shop also made it possible for brand-new searchings for in the broader area of research method. Below, we highlight a sample of several of one of the most impactful peer-reviewed write-ups published in 2023 that used Palantir Factory to help drive their study.
Recognizing new reliable drug mixes for numerous myeloma
- Magazine : 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.
- Summary : Numerous myeloma (MM) is regularly immune to medicine treatment, calling for ongoing expedition to recognize brand-new, effective therapeutic combinations. In this research study, researchers made use of high-throughput medication screening to determine over 1900 compounds with activity against at the very least 25 of the 47 MM cell lines tested. From these 1900 substances, 3 61 million combinations were evaluated in silico, and sets of substances with very associated task throughout the 47 cell lines and various systems of activity were selected for additional analysis. Particularly, 6 (6 medicine mixes were effective at 1 reducing over-expression of a crucial protein (MYC) that is usually connected to the manufacturing of deadly cells and 2 boosted expression of the p 16 protein, which can assist the body suppress lump development. In addition, three (3 recognized medicine combinations enhanced chances of survival and reduced the development of cancer cells, partially by lowering task of paths involved in TGFβ/ SMAD signaling, which manage the cell life process. These preclinical findings determine potentially beneficial unique drug mixes for tough to deal with multiple myeloma.
New rank-based protein classification method to boost glioblastoma treatment
- Publication : Cancers
- 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 cancerous mind lumps, vary considerably, limiting the ability to analyze the biological variables that drive whether glioblastomas will reply to treatment. Nevertheless, information analysis of the proteome– the entire collection of healthy proteins that can be expressed by the growth– can 1 offer non-invasive approaches of identifying glioblastomas to aid educate therapy and 2 determine protein biomarkers related to interventions to evaluate feedback to therapy. In this research, scientists developed and evaluated an unique rank-based weighting method (“RadWise”) for healthy protein includes to assist ML algorithms focus on the one of the most pertinent elements that indicate post-therapy outcomes. RadWise uses a much more reliable path to recognize the proteins and attributes that can be crucial targets for treatment of these hostile, deadly tumors.
Identifying liver cancer cells subtypes most likely to react to immunotherapy
- Publication : Cell Reports Medication
- 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.
- Recap : Liver cancer is a rising source of cancer fatalities in the United States. This research study investigated variant in person outcomes for a kind of immunotherapy utilizing immune checkpoint preventions. Scientist noted that particular molecular subtypes of cancer, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were connected to higher survival prices with immune checkpoint inhibitor treatment. Identifying these molecular subtypes can help physicians identify whether a patient’s unique cancer is likely to react to this type of intervention, implying they can apply more targeted use immunotherapy and boost chance of success.
Applying algorithms to EHR data to infer pregnancy timing for more accurate mother’s health research study
- Magazine : JAMIA, Women’s Health and wellness 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 indicators that COVID- 19 can trigger pregnancy issues, and expectant individuals appear to be at higher threat for much more severe COVID- 19 infection. Analysis of wellness document (EHR) data can assist give even more insight, but because of data inconsistencies, it is usually difficult to identify 1 maternity begin and end dates and 2 gestational age of the child at birth. To assist, scientists adjusted an existing formula for establishing gestational age and maternity length that depends on diagnostic codes and shipment dates. To raise the precision of this formula, the scientists layered on their own data-driven formulas to specifically infer maternity begin, maternity end, and spots period throughout a pregnancy’s progression while also dealing with EHR information disparity. This method can be accurately utilized to make the fundamental reasoning of maternity timing and can be applied to future maternity and maternity research study on subjects such as adverse pregnancy end results and mother’s mortality.
A novel method for resolving EHR information top quality concerns for medical experiences
- Magazine : 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 : Scientific encounter data can be a rich source for research study, yet it typically varies greatly throughout suppliers, centers, and establishments, making it difficult to consistently analyze. This variance is amplified when multisite digital health and wellness record (EHR) data is networked with each other in a main database. In this study, researchers established an unique, generalizable technique for solving medical experience information for evaluation by incorporating relevant encounters right into composite “macrovisits.” This methodology assists adjust and fix EHR experience data problems in a generalizable, repeatable way, allowing researchers to extra quickly unlock the potential of this abundant information for massive researches.
Improving transparency in phenotyping for Long COVID study and beyond
- 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 Recuperate Consortia
- Recap : Phenotyping, the process of assessing and classifying an organism’s characteristics, can help scientists much better comprehend the distinctions in between people and teams of individuals, and to recognize details attributes that might be connected to specific diseases or problems. Machine learning (ML) can assist derive phenotypes from information, yet these are testing to share and replicate because of their intricacy. Researchers in this study devised and educated an ML-based phenotype to identify people extremely likely to have Long COVID, a significantly immediate public wellness consideration, and showed applicability of this approach for various other environments. This is a success tale of exactly how transparent modern technology and collaboration can make phenotyping formulas much more available to a wide target market of scientists in informatics, minimizing copied work and giving them with a tool to get to insights faster, including for other conditions.
Browsing difficulties for multisite real world information (RWD) databases
- Publication : BMC Medical Study Method
- 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 : Collaborating with big range centralized EHR databases such as N 3 C for research needs specialized knowledge and careful examination of information quality and efficiency. This study takes a look at the process of analyzing information top quality in preparation for research, focusing on medication efficiency research studies. Researchers determined a number of techniques and finest methods to much better characterize essential research elements including exposure to therapy, standard wellness comorbidities, and crucial results of interest. As large scale, streamlined real world data sources end up being extra common, this is a valuable advance in aiding scientists better browse their unique information obstacles while opening important applications for medicine advancement.
What’s Next for Health Research at Palantir
While 2023 saw important development, the new year brings with it new possibilities, along with a necessity to apply the most recent technical advancements to the most essential health and wellness problems dealing with individuals, communities, and the general public at large. As an example, in 2023, the united state Government declared its commitment to combating systemic illness such as cancer, and also launched a new health and wellness agency, the Advanced Research Study Projects Company for Health ( ARPA-H
Additionally, in 2024, Palantir is pleased to be an industry partner in the ingenious National AI Study Source (NAIRR) pilot program , created under the auspices of the National Science Structure (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Administration’s Exec 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 support research study beforehand safe, protected, and trustworthy AI, in addition to the application of AI to challenges in healthcare.
In 2024, we’re excited to deal with partners, brand-new and old, on concerns of crucial importance, applying our knowings on information, devices, and research to help make it possible for meaningful renovations in health results for all.
To get more information about our continuing work across health and wellness and life sciences, visit https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies