2023 in Review
Health And Wellness Research + Modern Technology: A Turning Point
Palantir Factory has actually long contributed in speeding up the research study findings of our health and life science companions, aiding attain unprecedented understandings, enhance information accessibility, enhance information usability, and promote sophisticated visualization and evaluation of data resources– all while securing the personal privacy and safety of the backing data
In 2023, Factory supported over 50 peer-reviewed magazines in prestigious journals, covering a diverse number of topics– from health center operations, to oncological medications, to learning modalities. The year prior, our software application supported a document variety of peer-reviewed publications, which we highlighted in a previous blog post
Our companions’ fundamental investments in technical infrastructure throughout the peak of the COVID- 19 pandemic has actually made the excellent quantity of magazines possible.
Public and industrial health care partners have proactively scaled their financial investments in data sharing and research software program beyond COVID action to build a more thorough information structure for biomedical research. For instance, the N 3 C Enclave — which houses the information of 21 5 M clients from across nearly 100 institutions– is being utilized day-to-day by countless scientists throughout companies and organizations. Offered the intricacy of accessing, arranging, and taking advantage of ever-expanding biomedical information, the demand for comparable research study sources remains to rise.
In this post, we take a closer look at some notable magazines from 2023 and examine what lies ahead for software-backed research.
Emerging Technology and the Acceleration of Scientific Study
The influence of brand-new technologies on the clinical venture is speeding up research-based outcomes at a previously impossible range. Arising modern technologies and progressed software application are helping create extra accurate, organized, and available data properties, which in turn are allowing scientists to take on increasingly complicated clinical challenges. Particularly, as a modular, interoperable, and flexible system, Foundry has actually been made use of to support a varied series of scientific studies with unique research study features, including AI-assisted therapies identification, real-world evidence generation, and extra.
In 2023, the sector has actually additionally seen an exponential growth in passion around utilizing Artificial Intelligence (AI)– and specifically, generative AI and huge language models (LLM)– in the health and wellness and life science domain names. Alongside various other core technological innovations (e.g., around data high quality and usability), the potential for AI-enabled software to increase clinical study is much more promising than ever before. As a business leader in AI-enabled software application, Palantir has actually been at the forefront of searching for liable, safe and secure, and effective methods to apply AI-enabled capacities to sustain our partners across industries in achieving their crucial objectives.
Over the past year, Palantir software assisted drive essential parts of our partners’ research study and we stand ready to continue collaborating with our companions in federal government, market, and civil society to tackle one of the most pressing difficulties in wellness and science in advance. In the next area, we offer concrete examples of just how the power of software application can assist advance clinical study, highlighting some crucial biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Factory
In addition to a number of essential cancer and COVID treatment researches, Palantir Shop likewise allowed new findings in the more comprehensive area of research method. Listed below, we highlight an example of several of one of the most impactful peer-reviewed posts released in 2023 that utilized Palantir Factory to aid drive their research.
Determining new reliable medication combinations for several 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.
- Summary : Several myeloma (MM) is frequently immune to medicine therapy, requiring ongoing expedition to identify new, efficient restorative combinations. In this study, researchers used high-throughput drug testing to determine over 1900 compounds with task against a minimum of 25 of the 47 MM cell lines tested. From these 1900 compounds, 3 61 million mixes were examined in silico, and sets of substances with highly correlated activity throughout the 47 cell lines and various devices of action were picked for more evaluation. Particularly, 6 (6 medication combinations worked at 1 minimizing over-expression of an essential healthy protein (MYC) that is frequently connected to the manufacturing of malignant cells and 2 increased expression of the p 16 healthy protein, which can help the body suppress tumor growth. In addition, three (3 determined medication combinations enhanced opportunities of survival and lowered the development of cancer cells, partially by decreasing task of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for determine possibly helpful novel medicine mixes for hard to treat several myeloma.
New rank-based protein category technique to boost glioblastoma therapy
- Magazine : Cancers cells
- 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 common sort of cancerous brain growths, differ greatly, limiting the capability to evaluate the biological aspects that drive whether glioblastomas will certainly react to treatment. Nevertheless, information analysis of the proteome– the whole set of proteins that can be shared by the tumor– can 1 deal non-invasive techniques of classifying glioblastomas to assist educate treatment and 2 identify healthy protein biomarkers connected with treatments to evaluate feedback to treatment. In this research study, scientists established and checked a novel rank-based weighting method (“RadWise”) for healthy protein includes to assist ML formulas concentrate on the the most pertinent factors that suggest post-therapy outcomes. RadWise uses a more effective path to recognize the healthy proteins and attributes that can be crucial targets for treatment of these hostile, deadly lumps.
Determining liver cancer subtypes likely to reply to immunotherapy
- Magazine : Cell Reports 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Recap : Liver cancer is an increasing root cause of cancer fatalities in the US. This study investigated variation in individual results for a kind of immunotherapy utilizing immune checkpoint inhibitors. Scientist noted that certain molecular subtypes of cancer, specified by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to higher survival prices with immune checkpoint inhibitor treatment. Recognizing these molecular subtypes can help physicians determine whether an individual’s distinct cancer cells is likely to react to this sort of treatment, indicating they can use much more targeted use of immunotherapy and improve likelihood of success.
Using algorithms to EHR data to presume pregnancy timing for more precise mother’s health and wellness research study
- Magazine : JAMIA, Women’s 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 indications that COVID- 19 can create pregnancy complications, and pregnant individuals seem at greater risk for more serious COVID- 19 infection. Evaluation of wellness document (EHR) data can aid offer more understanding, however as a result of data inconsistencies, it is usually hard to ascertain 1 pregnancy beginning and end dates and 2 gestational age of the infant at birth. To assist, scientists adjusted an existing algorithm for figuring out gestational age and maternity size that depends on analysis codes and distribution days. To enhance the precision of this formula, the researchers layered on their own data-driven formulas to precisely presume maternity start, maternity end, and site time frames throughout a pregnancy’s development while also resolving EHR data inconsistency. This approach can be dependably used to make the foundational reasoning of pregnancy timing and can be related to future pregnancy and pregnancy research study on topics such as unfavorable pregnancy results and mother’s mortality.
A novel method for fixing EHR data quality issues for professional encounters
- 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 : Medical encounter information can be a rich resource for research study, but it commonly varies significantly throughout providers, facilities, and institutions, making it difficult to consistently examine. This incongruity is multiplied when multisite electronic health and wellness record (EHR) data is networked with each other in a main data source. In this research study, researchers established an unique, generalizable technique for settling clinical encounter data for evaluation by combining related encounters right into composite “macrovisits.” This methodology aids adjust and solve EHR encounter information concerns in a generalizable, repeatable means, allowing researchers to a lot more conveniently unlock the potential of this rich data for large-scale studies.
Improving transparency in phenotyping for Long COVID research study and past
- Publication : Journal of the American Medical Informatics Association
- 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
- Summary : Phenotyping, the procedure of assessing and categorizing a microorganism’s qualities, can aid scientists better recognize the differences in between individuals and teams of individuals, and to identify details characteristics that may be linked to certain illness or problems. Artificial intelligence (ML) can aid acquire phenotypes from data, yet these are testing to share and replicate because of their complexity. Researchers in this research study created and educated an ML-based phenotype to recognize clients highly possible to have Long COVID, a progressively urgent public wellness consideration, and showed applicability of this approach for various other atmospheres. This is a success tale of just how clear innovation and cooperation can make phenotyping algorithms a lot more accessible to a broad target market of scientists in informatics, minimizing duplicated job and offering them with a tool to reach insights much faster, including for various other illness.
Navigating challenges for multisite real life information (RWD) databases
- Magazine : BMC Medical Study 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
- Recap : Working with huge scale streamlined EHR data sources such as N 3 C for research study calls for specialized understanding and mindful evaluation of data top quality and completeness. This research analyzes the process of analyzing information high quality to prepare for study, concentrating on medicine efficacy research studies. Researchers determined numerous techniques and ideal methods to much better characterize important research elements consisting of exposure to therapy, baseline wellness comorbidities, and vital end results of passion. As huge scale, centralized real world databases become much more prevalent, this is a practical progression in assisting scientists better browse their unique data challenges while unlocking critical applications for medication advancement.
What’s Following for Health Research Study at Palantir
While 2023 saw important development, the brand-new year brings with it new opportunities, as well as a necessity to use the current technical developments to one of the most essential wellness concerns encountering individuals, neighborhoods, and the general public at huge. For instance, in 2023, the united state Federal government reaffirmed its commitment to combating systemic illness such as cancer cells, and also launched a new health firm, the Advanced Research Study Projects Firm for Health And Wellness ( ARPA-H
Additionally, in 2024, Palantir is honored to be a market companion in the innovative National AI Research Study Source (NAIRR) pilot program , produced under the auspices of the National Scientific Research Structure (NSF) and with financing from the NIH. As part of the NAIRR pilot– whose launch was routed by the Biden Administration’s Executive Order on Artificial Intelligence — Palantir will certainly be dealing with its veteran companions at the National Institutes of Wellness (NIH) and N 3 C to support research study ahead of time risk-free, safe, and trustworthy AI, along with the application of AI to obstacles in healthcare.
In 2024, we’re excited to work with companions, brand-new and old, on concerns of critical importance, applying our knowings on information, tools, and research study to assist make it possible for meaningful renovations in health and wellness results for all.
To find out more concerning our continuing work throughout wellness and life sciences, go to https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies