Peter G Mikhael
Overview
Explore the profile of Peter G Mikhael including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
11
Citations
478
Followers
0
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Kilgore H, Chinn I, Mikhael P, Mitnikov I, Van Dongen C, Zylberberg G, et al.
Science
. 2025 Feb;
387(6738):1095-1101.
PMID: 39913643
Cells have evolved mechanisms to distribute ~10 billion protein molecules to subcellular compartments where diverse proteins involved in shared functions must assemble. In this study, we demonstrate that proteins with...
2.
Kilgore H, Chinn I, Mikhael P, Mitnikov I, Van Dongen C, Zylberberg G, et al.
bioRxiv
. 2024 Apr;
PMID: 38659952
Cells have evolved mechanisms to distribute ~10 billion protein molecules to subcellular compartments where diverse proteins involved in shared functions must efficiently assemble. Here, we demonstrate that proteins with shared...
3.
Kilgore H, Mikhael P, Overholt K, Boija A, Hannett N, Van Dongen C, et al.
Nat Chem Biol
. 2023 Oct;
19(12):1561.
PMID: 37880420
No abstract available.
4.
Kilgore H, Mikhael P, Overholt K, Boija A, Hannett N, Van Dongen C, et al.
Nat Chem Biol
. 2023 Sep;
20(3):291-301.
PMID: 37770698
Diverse mechanisms have been described for selective enrichment of biomolecules in membrane-bound organelles, but less is known about mechanisms by which molecules are selectively incorporated into biomolecular assemblies such as...
5.
Mikhael P, Wohlwend J, Yala A, Karstens L, Xiang J, Takigami A, et al.
J Clin Oncol
. 2023 Jan;
41(12):2191-2200.
PMID: 36634294
Purpose: Low-dose computed tomography (LDCT) for lung cancer screening is effective, although most eligible people are not being screened. Tools that provide personalized future cancer risk assessment could focus approaches...
6.
Yala A, Mikhael P, Hughes K, Barzilay R
J Clin Oncol
. 2022 Apr;
40(20):2281-2282.
PMID: 35452271
No abstract available.
7.
Yala A, Mikhael P, Lehman C, Lin G, Strand F, Wan Y, et al.
Nat Med
. 2022 Jan;
28(1):136-143.
PMID: 35027757
Screening programs must balance the benefit of early detection with the cost of overscreening. Here, we introduce a novel reinforcement learning-based framework for personalized screening, Tempo, and demonstrate its efficacy...
8.
Yala A, Mikhael P, Strand F, Lin G, Satuluru S, Kim T, et al.
J Clin Oncol
. 2021 Nov;
40(16):1732-1740.
PMID: 34767469
Purpose: Accurate risk assessment is essential for the success of population screening programs in breast cancer. Models with high sensitivity and specificity would enable programs to target more elaborate screening...
9.
Yala A, Mikhael P, Strand F, Lin G, Smith K, Wan Y, et al.
Sci Transl Med
. 2021 Jan;
13(578).
PMID: 33504648
Improved breast cancer risk models enable targeted screening strategies that achieve earlier detection and less screening harm than existing guidelines. To bring deep learning risk models to clinical practice, we...
10.
Kim G, Mikhael P, Oseni T, Bahl M
Eur Radiol
. 2020 Jun;
30(11):6089-6098.
PMID: 32591884
Objectives: To compare upgrade rates of ductal carcinoma in situ (DCIS) on digital mammography (DM) versus digital breast tomosynthesis (DBT) and identify patient, imaging, and pathological features associated with upgrade...