2023 in Testimonial
Health And Wellness Research Study + Innovation: A Pivotal Moment
Palantir Factory has long contributed in increasing the research searchings for of our health and wellness and life scientific research companions, helping achieve unprecedented understandings, streamline data accessibility, boost information functionality, and assist in advanced visualization and evaluation of information resources– all while safeguarding the personal privacy and security of the backing information
In 2023, Shop sustained over 50 peer-reviewed magazines in renowned journals, covering a varied variety of subjects– from health center procedures, to oncological drugs, to learning techniques. The year prior, our software supported a record variety of peer-reviewed magazines, which we highlighted in a previous blog post
Our companions’ fundamental financial investments in technical framework during the optimal of the COVID- 19 pandemic has actually made the outstanding amount of magazines possible.
Public and commercial healthcare partners have actually proactively scaled their financial investments in information sharing and research software beyond COVID reaction to build an extra comprehensive data foundation for biomedical study. As an example, the N 3 C Enclave — which houses the information of 21 5 M clients from across almost 100 institutions– is being utilized day-to-day by countless researchers across companies and organizations. Provided the complexity of accessing, organizing, and harnessing ever-expanding biomedical information, the demand for comparable study sources continues to rise.
In this article, we take a closer take a look at some notable magazines from 2023 and examine what exists ahead for software-backed study.
Arising Modern Technology and the Acceleration of Scientific Research
The impact of new modern technologies on the clinical venture is speeding up research-based outcomes at a formerly impossible range. Emerging innovations and progressed software application are helping develop extra specific, organized, and available information properties, which consequently are enabling scientists to deal with significantly complicated clinical difficulties. Particularly, as a modular, interoperable, and versatile platform, Foundry has actually been made use of to sustain a diverse range of scientific research studies with distinct research study functions, including AI-assisted therapeutics identification, real-world evidence generation, and much more.
In 2023, the industry has actually likewise seen an exponential development in interest around making use of Expert system (AI)– and in particular, generative AI and huge language versions (LLM)– in the wellness and life science domains. Together with other core technical developments (e.g., around data high quality and functionality), the potential for AI-enabled software program to accelerate clinical research is more appealing than ever. As an industrial leader in AI-enabled software program, Palantir has gone to the center of searching for responsible, safe and secure, and efficient methods to use AI-enabled abilities to support our companions throughout industries in attaining their most important missions.
Over the previous year, Palantir software application helped drive essential parts of our partners’ research and we stand ready to proceed interacting with our companions in government, market, and civil society to deal with one of the most pressing challenges in health and science ahead. In the following section, we offer concrete examples of how the power of software can aid advance scientific research, highlighting some vital biomedical magazines powered by Shop in 2023
2023 Publications Powered by Palantir Foundry
In addition to a variety of important cancer and COVID therapy studies, Palantir Foundry also allowed brand-new searchings for in the more comprehensive area of study technique. Below, we highlight a sample of several of one of the most impactful peer-reviewed posts released in 2023 that made use of Palantir Shop to help drive their research.
Determining new efficient 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.
- Recap : Several myeloma (MM) is often immune to drug therapy, calling for ongoing exploration to identify new, efficient restorative combinations. In this research study, scientists used high-throughput medication testing to recognize over 1900 substances with task versus at the very least 25 of the 47 MM cell lines evaluated. From these 1900 substances, 3 61 million mixes were reviewed in silico, and pairs of substances with very associated activity throughout the 47 cell lines and various systems of action were picked for more analysis. Particularly, six (6 drug combinations were effective at 1 reducing over-expression of an essential protein (MYC) that is usually linked to the manufacturing of deadly cells and 2 enhanced expression of the p 16 healthy protein, which can aid the body subdue tumor development. In addition, 3 (3 recognized drug mixes enhanced opportunities of survival and lowered the development of cancer cells, partly by reducing task of pathways involved in TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical searchings for determine potentially valuable novel drug mixes for hard to treat numerous myeloma.
New rank-based protein classification approach to improve glioblastoma therapy
- Magazine : 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 common sort of cancerous brain growths, differ considerably, limiting the capacity to analyze the biological factors that drive whether glioblastomas will certainly react to therapy. Nevertheless, information evaluation of the proteome– the entire set of proteins that can be shared by the tumor– can 1 offer non-invasive techniques of identifying glioblastomas to assist inform therapy and 2 identify protein biomarkers connected with treatments to examine reaction to therapy. In this research study, researchers established and evaluated a novel rank-based weighting technique (“RadWise”) for protein features to help ML algorithms concentrate on the one of the most relevant variables that indicate post-therapy results. RadWise provides a much more reliable pathway to determine the healthy proteins and attributes that can be essential targets for therapy of these aggressive, fatal lumps.
Identifying liver cancer subtypes 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.
- Summary : Liver cancer is a climbing cause of cancer fatalities in the United States. This research study checked out variation in client results for a type of immunotherapy using immune checkpoint inhibitors. Researchers kept in mind that specific molecular subtypes of cancer cells, defined by 1 the aggression of cancer cells and 2 the microenvironment of the cancer cells, were linked to greater survival prices with immune checkpoint inhibitor therapy. Determining these molecular subtypes can help doctors recognize whether a person’s distinct cancer is likely to respond to this kind of intervention, indicating they can use much more targeted use of immunotherapy and improve likelihood of success.
Applying formulas to EHR information to presume pregnancy timing for more exact mother’s health study
- Publication : JAMIA, Female’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 indications that COVID- 19 can cause maternity problems, and pregnant individuals seem at greater threat for much more serious COVID- 19 infection. Evaluation of health and wellness document (EHR) information can assist give even more insight, but as a result of information variances, it is often difficult to ascertain 1 pregnancy start and end dates and 2 gestational age of the child at birth. To aid, scientists adjusted an existing formula for establishing gestational age and pregnancy size that counts on diagnostic codes and distribution dates. To boost the precision of this algorithm, the researchers layered on their own data-driven formulas to precisely infer maternity start, pregnancy end, and landmark period throughout a pregnancy’s development while likewise dealing with EHR data disparity. This method can be accurately used to make the foundational inference of maternity timing and can be put on future maternity and maternal study on subjects such as unfavorable pregnancy outcomes and maternal mortality.
A novel approach for resolving EHR information top quality problems for medical encounters
- Magazine : JAMIA
- Authors : 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 source for research study, however it usually varies substantially across carriers, facilities, and institutions, making it hard to uniformly examine. This inconsistency is magnified when multisite electronic health and wellness record (EHR) information is networked with each other in a central data source. In this research study, scientists created a novel, generalizable approach for dealing with professional experience information for evaluation by combining related experiences into composite “macrovisits.” This technique assists control and settle EHR encounter data problems in a generalizable, repeatable means, enabling researchers to more easily open the capacity of this abundant data for large-scale research studies.
Improving openness in phenotyping for Long COVID research study and past
- Publication : Journal of the American Medical Informatics Organization
- 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
- Recap : Phenotyping, the process of reviewing and classifying a microorganism’s attributes, can aid researchers better comprehend the distinctions between individuals and teams of people, and to identify details qualities that might be linked to particular conditions or conditions. Artificial intelligence (ML) can aid obtain phenotypes from data, yet these are challenging to share and reproduce because of their intricacy. Scientists in this research study devised and educated an ML-based phenotype to determine individuals highly probable to have Long COVID, an increasingly urgent public health and wellness factor to consider, and showed applicability of this technique for other atmospheres. This is a success tale of exactly how transparent innovation and collaboration can make phenotyping formulas much more easily accessible to a broad audience of scientists in informatics, decreasing copied job and giving them with a tool to get to understandings faster, including for other diseases.
Browsing obstacles 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 : Dealing with large range centralized EHR data sources such as N 3 C for research study requires specialized knowledge and mindful analysis of information quality and completeness. This research study takes a look at the procedure of evaluating information quality in preparation for research, focusing on medication efficiency research studies. Scientist recognized a number of techniques and finest methods to much better characterize crucial study aspects consisting of exposure to therapy, standard health comorbidities, and vital results of passion. As huge scale, systematized real life data sources become a lot more common, this is a useful advance in assisting scientists better navigate their distinct information challenges while unlocking crucial applications for drug advancement.
What’s Following for Health And Wellness Study at Palantir
While 2023 saw crucial progress, the brand-new year brings with it brand-new possibilities, along with a seriousness to apply the latest technological improvements to the most essential health problems facing people, neighborhoods, and the general public at huge. For instance, in 2023, the united state Government declared its commitment to combating systemic conditions such as cancer, and even released a brand-new wellness company, the Advanced Research Study Projects Firm for Health ( ARPA-H
In addition, in 2024, Palantir is pleased to be an industry companion in the cutting-edge National AI Research Resource (NAIRR) pilot program , developed under the auspices of the National Scientific Research Foundation (NSF) and with funding from the NIH. As part of the NAIRR pilot– whose launch was directed by the Biden Administration’s Executive Order on Artificial Intelligence — Palantir will certainly be working with its long-time partners at the National Institutes of Health (NIH) and N 3 C to support research study ahead of time risk-free, safe, and credible AI, in addition to the application of AI to challenges in health care.
In 2024, we’re delighted to work with companions, brand-new and old, on concerns of vital relevance, using our knowings on information, tools, and study to assist allow meaningful renovations in wellness end results for all.
To learn more concerning our continuing job across health and wellness and life sciences, go to https://www.palantir.com/offerings/federal-health/
* Authors affiliated with Palantir Technologies