Research platform for scientists and students

Discover papers, capture essential insights, structure your research, and build study materials — while maintaining scholarly standards

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McGill
Roche
UofT
AbCellera
UBC
Lonza
McMaster
Stemcell Technologies
Waterloo
Sartorius
UofC
Sanofi
Western
GSK
Queen's
Biogen
UofA
Pfizer
Dalhousie
Merck
Thermo Fisher
AstraZeneca
Novartis
Corning
McGill
Roche
UofT
AbCellera
UBC
Lonza
McMaster
Stemcell Technologies
Waterloo
Sartorius
UofC
Sanofi
Western
GSK
Queen's
Biogen
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Pfizer
Dalhousie
Merck
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AstraZeneca
Novartis
Corning
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All-in-one platform to enhance your research

Integrated search engine

Find and discover relevant papers across multiple databases without leaving your workspace

Built-in reference manager

Organize citations and generate bibliographies automatically as you write and research

Research-focused editor

Write, annotate, and structure your work with tools designed specifically for scholarly writing

Understand any file or group of files, instantly

Whether it's a dense 200-page textbook, a new clinical study, or a technical research paper, just upload it and start asking questions

Understand any file or group of files, instantly

Navigate documents and notes with tabs mode

Switch between documents and notes effortlessly with tabs mode. Search, annotate key details, take notes, and search across papers—all in one organized workspace.

Navigate documents and notes with tabs mode - search, annotate, and take notes across papers

Smart Document Management

Organize and manage research documents with intelligent categorization

Documents

Paper TitleLead AuthorDate AddedLast ReviewedKeywordsSource
Machine Learning Applications in Early Cancer Detection
Patel, et al.Today5 minutes ago
oncologymachine learningearly detection
https://pubmed.ncbi.nlm.nih.gov/2024.12345
Neural Network Models for Predicting Patient Outcomes in ICU
Anderson, et al.1w ago3d ago
critical careneural networkspredictive modeling
https://pubmed.ncbi.nlm.nih.gov/2024.67890
Deep Learning for Medical Image Analysis in Radiology
Kumar, et al.2d ago1h ago
radiologydeep learningmedical imaging
https://pubmed.ncbi.nlm.nih.gov/2024.11111
Transformer Architectures for Medical Diagnosis
Chen, et al.YesterdayJust now
medical aitransformersdiagnosis
https://pubmed.ncbi.nlm.nih.gov/2024.22222
Natural Language Processing for Clinical Note Analysis
Rodriguez, et al.5d ago2d ago
nlpclinical noteselectronic health records
https://pubmed.ncbi.nlm.nih.gov/2024.33333
Reinforcement Learning for Personalized Treatment Recommendations
Thompson, et al.1w agoYesterday
personalized medicinereinforcement learningtreatment
https://pubmed.ncbi.nlm.nih.gov/2024.44444
Biomarker Discovery Using Machine Learning in Precision Medicine
Singh, et al.3d ago1d ago
biomarkersprecision medicineml
https://pubmed.ncbi.nlm.nih.gov/2024.55555
Federated Learning for Multi-Institutional Medical Research
Martinez, et al.4d ago2d ago
federated learningmulti-institutionalprivacy
https://pubmed.ncbi.nlm.nih.gov/2024.66666

Advanced Research Tools

Discover papers with intelligent search and citation tracking

Advanced Research Tools - tabs mode for navigation and organization

Paper Search

1,247 results found

Attention Is All You Need

Vaswani, A., et al.2017NeurIPS

We propose a new simple network architecture, the Transformer, based solely on attention mechanisms...

98% match
85,420 citations

Hierarchical Attention Networks for Document Classification

Yang, Z., et al.2016NAACL

We propose a hierarchical attention network for document classification that has two distinguishing characteristics...

92% match
3,240 citations

Multi-Head Attention with Learned Positional Encoding

Shaw, P., et al.2018EMNLP

We extend the Transformer architecture with learned positional encodings and multi-head attention...

87% match
1,890 citations
Clinical Training Platform

Master clinical scenarios with neural voice synthesis

Coming Soon

Practice clinical communication with voice-enabled patients that respond naturally to your questions and concerns. Build confidence through unlimited repetition without judgment—refine your approach, improve your technique, and prepare for real-world patient encounters.

Realistic Patient Interactions

Practice with realistic patients powered by neural voice synthesis that responds naturally to clinical communication.

Multi-turn conversational dialogue with context retention

Emotional state modeling for realistic patient responses

Dynamic scenario adaptation based on student performance

Support for diverse patient demographics and backgrounds

Immediate Detailed Feedback

Receive instant intelligent assessment of clinical reasoning, communication skills, and diagnostic approach.

Comprehensive Clinical Coverage

Access evidence-based scenarios across all medical specialties with graduated difficulty levels.

200+

Clinical Scenarios

87%

Avg Improvement

180ms

Response Time

40+

Languages

Sesame Conversational Speech Model

Advanced transformer architecture optimized for conversational speech generation with emotional intelligence and contextual awareness.

Manage deadlines with integrated calendar

Keep track of research deadlines, meetings, and important dates—all integrated within your workspace.

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Deadline Tracking

View all your research deadlines, submission dates, and important meetings in one place.

Task Organization

Create and manage tasks directly linked to your research projects and literature reviews.

Smart Reminders

Get notified about upcoming deadlines and never miss an important research milestone.

How Serenoty compares

See why researchers choose Serenoty over traditional tools

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Frequently Asked Questions

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