2023 in Testimonial
Health And Wellness Study + Innovation: A Juncture
Palantir Shop has long been instrumental in speeding up the research study searchings for of our wellness and life scientific research partners, assisting accomplish unprecedented insights, streamline information access, improve data usability, and assist in innovative visualization and analysis of information resources– all while protecting the personal privacy and safety and security of the backing information
In 2023, Factory supported over 50 peer-reviewed magazines in well-regarded journals, covering a varied variety of topics– from medical facility operations, to oncological drugs, to discovering techniques. The year prior, our software sustained a record variety of peer-reviewed magazines, which we highlighted in a previous post
Our partners’ fundamental investments in technological infrastructure during the top of the COVID- 19 pandemic has actually made the impressive amount of magazines possible.
Public and commercial healthcare companions have actually proactively scaled their financial investments in information sharing and research software past COVID reaction to build an extra comprehensive data foundation for biomedical research study. As an example, the N 3 C Enclave — which houses the information of 21 5 M individuals from across nearly 100 institutions– is being made use of daily by countless scientists across firms and companies. Provided the intricacy of accessing, arranging, and taking advantage of ever-expanding biomedical data, the need for similar research resources remains to increase.
In this post, we take a closer consider some notable publications from 2023 and examine what lies in advance for software-backed research.
Emerging Modern Technology and the Velocity of Scientific Study
The effect of new technologies on the clinical enterprise is speeding up research-based outputs at a formerly difficult range. Emerging modern technologies and progressed software are aiding create extra specific, organized, and accessible information assets, which consequently are enabling scientists to take on increasingly complicated clinical challenges. Specifically, as a modular, interoperable, and flexible platform, Foundry has been used to sustain a diverse series of scientific studies with distinct research functions, including AI-assisted therapeutics identification, real-world proof generation, and much more.
In 2023, the sector has actually additionally seen a rapid growth in passion around using Artificial Intelligence (AI)– and in particular, generative AI and big language versions (LLM)– in the health and life scientific research domains. Along with various other core technical innovations (e.g., around data quality and use), the possibility for AI-enabled software application to increase clinical research study is much more appealing than ever before. As an industrial leader in AI-enabled software, Palantir has actually gone to the forefront of searching for responsible, safe and secure, and effective means to apply AI-enabled abilities to support our partners throughout industries in accomplishing their essential missions.
Over the past year, Palantir software helped drive vital components of our companions’ research and we stand ready to proceed working together with our partners in federal government, market, and civil society to tackle one of the most pressing difficulties in wellness and scientific research ahead. In the next section, we provide concrete instances of just how the power of software application can aid advance clinical research study, highlighting some crucial biomedical publications powered by Foundry in 2023
2023 Publications Powered by Palantir Shop
In addition to a number of crucial cancer cells and COVID treatment researches, Palantir Foundry also allowed brand-new findings in the more comprehensive area of research study methodology. Listed below, we highlight a sample of some of one of the most impactful peer-reviewed articles released in 2023 that made use of Palantir Foundry to assist drive their research study.
Identifying brand-new reliable medication combinations 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 : Multiple myeloma (MM) is frequently immune to drug treatment, calling for ongoing expedition to identify new, efficient restorative mixes. In this research, researchers made use of high-throughput drug testing to determine over 1900 compounds with activity against at least 25 of the 47 MM cell lines examined. From these 1900 compounds, 3 61 million combinations were evaluated in silico, and pairs of compounds with very associated task across the 47 cell lines and different devices of activity were chosen for more analysis. Specifically, six (6 drug mixes worked at 1 lowering over-expression of a key healthy protein (MYC) that is often linked to the manufacturing of malignant cells and 2 enhanced expression of the p 16 healthy protein, which can aid the body subdue tumor development. Furthermore, three (3 determined medicine combinations raised possibilities of survival and reduced the development of cancer cells, partly by decreasing task of pathways associated with TGFβ/ SMAD signaling, which regulate the cell life cycle. These preclinical findings determine potentially beneficial unique medication combinations for challenging to treat numerous myeloma.
New rank-based healthy protein classification method to improve glioblastoma therapy
- Publication : Cancers
- Authors : Tasci, E., Jagasia, S., Zhuge, Y., Sproull, M., Cooley Zgela, T., Mackey, M., Camphausen, K., Krauze, A.V.
- Summary : Glioblastomas, the most usual type of cancerous brain growths, differ substantially, restricting the capacity to analyze the organic elements that drive whether glioblastomas will certainly respond to therapy. However, data evaluation of the proteome– the whole set of proteins that can be expressed by the lump– can 1 offer non-invasive approaches of identifying glioblastomas to help inform treatment and 2 identify protein biomarkers associated with treatments to assess feedback to treatment. In this study, scientists developed and examined a novel rank-based weighting method (“RadWise”) for healthy protein includes to help ML algorithms concentrate on the the most appropriate elements that suggest post-therapy results. RadWise offers a more reliable path to identify the healthy proteins and attributes that can be essential targets for therapy of these hostile, fatal tumors.
Identifying liver cancer cells subtypes most likely to reply 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer is a rising reason for cancer deaths in the United States. This research examined variant in client results for a type of immunotherapy utilizing immune checkpoint preventions. Researchers noted that particular molecular subtypes of cancer, defined by 1 the aggressiveness of cancer and 2 the microenvironment of the cancer cells, were linked to greater survival rates with immune checkpoint prevention therapy. Identifying these molecular subtypes can help doctors determine whether a person’s special cancer cells is likely to reply to this sort of treatment, suggesting they can apply much more targeted use of immunotherapy and enhance possibility of success.
Applying formulas to EHR information to presume pregnancy timing for more exact mother’s health and wellness 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 indicators that COVID- 19 can trigger maternity complications, and expectant individuals seem at greater danger for extra extreme COVID- 19 infection. Evaluation of health record (EHR) information can help offer more understanding, yet due to data variances, it is usually hard to establish 1 maternity start and end days and 2 gestational age of the child at birth. To aid, researchers adjusted an existing formula for determining gestational age and pregnancy length that relies upon diagnostic codes and shipment dates. To boost the precision of this formula, the researchers layered on their own data-driven formulas to exactly infer pregnancy beginning, maternity end, and spots timespan throughout a pregnancy’s progression while also resolving EHR information inconsistency. This method can be dependably used to make the foundational reasoning of maternity timing and can be applied to future maternity and maternal study on topics such as adverse maternity outcomes and maternal death.
An unique method for solving EHR information quality concerns for clinical experiences
- 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 encounter data can be a rich source for research, yet it typically varies significantly across suppliers, facilities, and institutions, making it challenging to consistently analyze. This incongruity is magnified when multisite digital health record (EHR) information is networked together in a main database. In this research, scientists developed a novel, generalizable approach for dealing with medical experience data for analysis by integrating associated experiences right into composite “macrovisits.” This approach assists adjust and deal with EHR experience information issues in a generalizable, repeatable means, permitting scientists to a lot more easily open the capacity of this rich data for massive research studies.
Improving transparency in phenotyping for Long COVID study and past
- Magazine : 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
- Summary : Phenotyping, the process of reviewing and classifying an organism’s characteristics, can help researchers much better comprehend the differences between people and teams of individuals, and to recognize particular characteristics that may be linked to specific conditions or conditions. Artificial intelligence (ML) can assist obtain phenotypes from information, but these are challenging to share and duplicate because of their complexity. Researchers in this research devised and educated an ML-based phenotype to recognize individuals very possible to have Lengthy COVID, a progressively immediate public wellness factor to consider, and showed applicability of this approach for other atmospheres. This is a success tale of just how clear innovation and collaboration can make phenotyping formulas more easily accessible to a wide target market of scientists in informatics, lowering copied work and providing them with a tool to get to understandings faster, including for other illness.
Browsing difficulties for multisite real life data (RWD) data sources
- Magazine : BMC Medical Research 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 : Dealing with big range systematized EHR data sources such as N 3 C for research study needs specialized expertise and mindful analysis of data high quality and completeness. This study checks out the process of analyzing data quality to prepare for research, focusing on drug effectiveness researches. Researchers determined several methods and finest techniques to much better characterize vital research study aspects consisting of exposure to therapy, baseline wellness comorbidities, and vital outcomes of rate of interest. As large range, systematized real life data sources come to be extra widespread, this is a helpful advance in assisting scientists more effectively navigate their one-of-a-kind information challenges while opening essential applications for drug growth.
What’s Next for Health And Wellness Research Study at Palantir
While 2023 saw crucial development, the brand-new year brings with it new possibilities, as well as a seriousness to use the current technical innovations to the most essential health and wellness problems facing people, areas, and the public at big. For instance, in 2023, the united state Federal government declared its dedication to combating systemic conditions such as cancer, and even released a brand-new wellness firm, the Advanced Research Projects Company for Health ( ARPA-H
Furthermore, in 2024, Palantir is happy to be an industry partner in the cutting-edge National AI Research Study Resource (NAIRR) pilot program , created under the auspices of the National Scientific Research Structure (NSF) and with funding from the NIH. As component of the NAIRR pilot– whose launch was routed by the Biden Administration’s Exec 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 sustain research study ahead of time safe, secure, and trustworthy AI, along with the application of AI to difficulties in health care.
In 2024, we’re delighted to collaborate with companions, new and old, on issues of crucial value, using our knowings on information, devices, and research study to aid allow meaningful improvements in health and wellness outcomes for all.
To read more about our proceeding job throughout health and life scientific researches, go to https://www.palantir.com/offerings/federal-health/
* Authors associated with Palantir Technologies