2023 in Testimonial
Wellness Study + Technology: A Juncture
Palantir Foundry has actually long been instrumental in accelerating the research study findings of our health and wellness and life science companions, assisting accomplish unprecedented insights, simplify data access, enhance data functionality, and assist in sophisticated visualization and analysis of data resources– all while safeguarding the personal privacy and security of the backing data
In 2023, Shop sustained over 50 peer-reviewed magazines in esteemed journals, covering a varied variety of subjects– from hospital operations, to oncological drugs, to learning modalities. The year prior, our software application supported a document variety of peer-reviewed magazines, which we highlighted in a previous article
Our companions’ fundamental financial investments in technical facilities throughout the height of the COVID- 19 pandemic has made the impressive amount of magazines feasible.
Public and business health care partners have proactively scaled their financial investments in information sharing and study software program past COVID action to develop a much more thorough information structure for biomedical study. For instance, the N 3 C Enclave — which houses the information of 21 5 M individuals from across almost 100 establishments– is being made use of everyday by countless scientists across firms and organizations. Given the complexity of accessing, arranging, and using ever-expanding biomedical data, the demand for similar research sources continues to increase.
In this post, we take a closer look at some notable magazines from 2023 and examine what lies ahead for software-backed study.
Arising Innovation and the Acceleration of Scientific Research
The impact of brand-new innovations on the scientific business is accelerating research-based outputs at a previously difficult range. Arising technologies and progressed software application are helping develop extra specific, arranged, and available information assets, which subsequently are allowing researchers to take on significantly complicated scientific difficulties. In particular, as a modular, interoperable, and versatile system, Shop has been utilized to sustain a varied series of scientific research studies with unique research study functions, including AI-assisted therapies identification, real-world evidence generation, and more.
In 2023, the industry has actually additionally seen a rapid development in rate of interest around using Expert system (AI)– and specifically, generative AI and huge language versions (LLM)– in the health and life scientific research domains. Along with other core technological developments (e.g., around data high quality and usability), the capacity for AI-enabled software application to accelerate clinical study is much more encouraging than ever. As a business leader in AI-enabled software application, Palantir has actually gone to the center of finding accountable, safe and secure, and effective methods to apply AI-enabled abilities to sustain our partners throughout industries in achieving their crucial goals.
Over the past year, Palantir software aided drive essential components of our companions’ research and we stand all set to continue working together with our partners in federal government, market, and civil society to tackle the most pressing obstacles in health and scientific research ahead. In the next section, we offer concrete instances of exactly how the power of software can aid development clinical study, highlighting some essential biomedical publications powered by Shop in 2023
2023 Publications Powered by Palantir Shop
In addition to a variety of essential cancer and COVID therapy research studies, Palantir Foundry additionally made it possible for new findings in the broader field of research method. Below, we highlight a sample of some of the most impactful peer-reviewed short articles published in 2023 that made use of Palantir Factory to assist drive their study.
Determining brand-new reliable drug combinations 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 : Numerous myeloma (MM) is frequently resistant to medication therapy, calling for ongoing exploration to determine new, effective restorative combinations. In this study, scientists used high-throughput medicine testing to determine over 1900 substances with task versus a minimum of 25 of the 47 MM cell lines checked. From these 1900 compounds, 3 61 million combinations were evaluated in silico, and pairs of substances with extremely associated task throughout the 47 cell lines and different mechanisms of action were chosen for additional evaluation. Particularly, six (6 medicine combinations were effective at 1 minimizing over-expression of a key healthy protein (MYC) that is often connected to the manufacturing of malignant cells and 2 boosted expression of the p 16 protein, which can help the body suppress tumor development. Furthermore, 3 (3 recognized medication combinations increased chances of survival and lowered the development of cancer cells, partly by decreasing task of paths involved in TGFβ/ SMAD signaling, which control the cell life cycle. These preclinical findings recognize potentially useful unique drug mixes for tough to treat multiple myeloma.
New rank-based protein category approach to boost glioblastoma therapy
- Publication : Cancers cells
- 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 common kind of malignant mind lumps, vary considerably, limiting the capacity to assess the biological elements that drive whether glioblastomas will certainly reply to treatment. However, information analysis of the proteome– the whole set of healthy proteins that can be revealed by the tumor– can 1 deal non-invasive approaches of classifying glioblastomas to aid educate treatment and 2 determine protein biomarkers connected with treatments to assess response to treatment. In this research study, scientists developed and evaluated a novel rank-based weighting approach (“RadWise”) for healthy protein features to assist ML algorithms focus on the the most appropriate factors that show post-therapy results. RadWise supplies a more efficient path to determine the healthy proteins and features that can be essential targets for therapy of these aggressive, fatal lumps.
Determining liver cancer cells subtypes likely to respond to immunotherapy
- Magazine : 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., Warner, A.C., Edmondson, E.F., Forgues, M., Greten, T.F., Wang, X.W.
- Summary : Liver cancer is an increasing source of cancer cells deaths in the US. This research examined variant in client end results for a type of immunotherapy using immune checkpoint inhibitors. Researchers kept in mind that particular molecular subtypes of cancer cells, specified by 1 the aggressiveness of cancer cells and 2 the microenvironment of the cancer cells, were connected to greater survival rates with immune checkpoint inhibitor therapy. Determining these molecular subtypes can aid doctors identify whether a person’s one-of-a-kind cancer is likely to react to this kind of intervention, implying they can use much more targeted use of immunotherapy and enhance probability of success.
Applying algorithms to EHR information to infer maternity timing for more exact maternal wellness research study
- Publication : JAMIA, Female’s Health and wellness Special Edition
- 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 maternity complications, and expectant individuals appear to be at higher danger for extra severe COVID- 19 infection. Evaluation of health record (EHR) information can help offer even more understanding, yet due to information variances, it is frequently hard to determine 1 maternity beginning and end dates and 2 gestational age of the infant at birth. To assist, researchers adapted an existing formula for figuring out gestational age and pregnancy size that depends on analysis codes and shipment dates. To enhance the accuracy of this formula, the scientists layered on their own data-driven formulas to exactly presume maternity beginning, maternity end, and spots period throughout a pregnancy’s progression while likewise attending to EHR data inconsistency. This method can be dependably utilized to make the foundational inference of pregnancy timing and can be related to future maternity and maternity study on topics such as unfavorable maternity end results and mother’s mortality.
A novel technique for fixing EHR data quality concerns for clinical 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.
- Recap : Professional experience data can be a rich resource for research study, yet it typically differs greatly across carriers, centers, and establishments, making it challenging to consistently examine. This incongruity is magnified when multisite electronic health and wellness record (EHR) data is networked with each other in a main data source. In this research, scientists created an unique, generalizable technique for fixing medical encounter information for analysis by combining relevant experiences right into composite “macrovisits.” This method assists control and fix EHR experience data problems in a generalizable, repeatable way, permitting researchers to much more easily open the possibility of this rich data for large-scale studies.
Improving openness in phenotyping for Long COVID research study and beyond
- Magazine : 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 Recuperate Consortia
- Recap : Phenotyping, the process of examining and classifying a microorganism’s attributes, can assist researchers much better recognize the differences in between people and groups of individuals, and to determine particular attributes that might be connected to particular diseases or conditions. Artificial intelligence (ML) can assist acquire phenotypes from information, but these are testing to share and reproduce as a result of their complexity. Scientists in this research study designed and educated an ML-based phenotype to identify patients extremely possible to have Long COVID, a progressively immediate public wellness factor to consider, and revealed applicability of this technique for other settings. This is a success tale of how transparent technology and cooperation can make phenotyping algorithms more available to a wide target market of researchers in informatics, minimizing duplicated work and offering them with a tool to reach insights faster, including for other conditions.
Browsing challenges for multisite real world information (RWD) data sources
- Publication : BMC Medical Research Study Methodology
- Authors : 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 : Dealing with huge range centralized EHR data sources such as N 3 C for research requires specialized knowledge and careful assessment of information high quality and completeness. This research study checks out the process of assessing information quality in preparation for research study, focusing on medicine efficiency studies. Researchers identified numerous approaches and ideal methods to much better characterize vital research aspects including direct exposure to treatment, baseline health comorbidities, and crucial outcomes of rate of interest. As large scale, systematized real life databases come to be more widespread, this is a handy advance in assisting scientists more effectively navigate their one-of-a-kind data challenges while unlocking essential applications for medicine growth.
What’s Next for Health Study at Palantir
While 2023 saw essential progress, the brand-new year brings with it brand-new possibilities, in addition to an urgency to apply the most up to date technical improvements to one of the most crucial wellness issues dealing with individuals, neighborhoods, and the public at large. For example, in 2023, the united state Government reaffirmed its dedication to combating systemic diseases such as cancer, and also released a new wellness firm, the Advanced Study Projects Company for Health ( ARPA-H
Furthermore, in 2024, Palantir is happy to be a market companion in the innovative National AI Research Resource (NAIRR) pilot program , created under the auspices of the National Scientific Research Structure (NSF) and with financing from the NIH. As component of the NAIRR pilot– whose launch was directed by the Biden Management’s Exec Order on Expert System — Palantir will certainly be collaborating with its long-time companions at the National Institutes of Health And Wellness (NIH) and N 3 C to support research study ahead of time safe, protected, and reliable AI, as well as the application of AI to difficulties in healthcare.
In 2024, we’re thrilled to collaborate with partners, brand-new and old, on problems of crucial value, applying our discoverings on information, tools, and research study to help make it possible for meaningful improvements in wellness end results for all.
To read more about our continuing job throughout health and life sciences, check out https://www.palantir.com/offerings/federal-health/
* Authors connected with Palantir Technologies