Health Challenges
Explore health challenges on Ewance to apply academic learning to real-world briefs. Cover topics across clinical operations, public health, life sciences, and health-tech to build a credential-backed portfolio.
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- CodeSeniorNew
Implement a Bootloader with Secure OTA for a Medical Wearable
Implement using MCUboot as the secondary-image bootloader. Set up an offline signing pipeline (Ed25519 keys, HSM-backed for production). Implement the OTA client: BLE file trans…
- Mcuboot
- Secure Bootloader
- Firmware Signing
Embedded Systems Engineering - CodeSeniorNew
AR Surgical-Planning Overlay for Orthopedic Implants
Receive 5 synthetic DICOM hip-anatomy datasets (no patient data; generated from public anatomical atlases) and CAD models for 3 implant SKUs. Build a HoloLens 2 prototype that l…
- Ar Development
- Mixed Reality Applications
- 3d Interaction
Virtual and Mixed Reality - ResearchSeniorNew
Solve a POMDP for a Healthtech Diagnostic Pathway
You receive a simplified pathway: 5 possible underlying conditions, 8 possible diagnostic tests each with documented sensitivity and specificity, and an outcome payoff matrix fr…
- Pomdp Modeling
- Belief States
- Approximate Solvers
Decision Making Under Uncertainty - CodeSeniorNew
Survival-Analysis Risk Model for an Oncology Decision-Support Pilot
You receive a curated public colorectal cancer cohort (about 9,000 patients, demographics, stage, grade, comorbidities, baseline labs, censored survival times). Fit (1) a Cox pr…
- Survival Analysis
- Risk Stratification
- Model Calibration
Machine Learning for Healthcare and Biomedicine Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- CodeSeniorNew
Triage Brain-CT Stroke Detector with Calibrated Uncertainty
You receive a curated public head-CT dataset (about 2,800 scans, slice-level labels for hemorrhagic stroke) and a held-out 600-scan hospital cohort. Train a 3D CNN or 2.5D slice…
- Medical Imaging
- Neural Networks
- Uncertainty Quantification
Machine Learning for Imaging and Medical Image Analysis - AnalysisSeniorNew
Brain-Tumor MRI Segmentation Bake-Off
You receive a curated public multi-modal MRI brain-tumor cohort (~600 patients, T1/T1c/T2/FLAIR with whole-tumor / tumor-core / enhancing-tumor masks). Train all three architect…
- Medical Imaging
- Segmentation
- Neural Networks
Machine Learning for Imaging and Medical Image Analysis - ResearchSeniorNew
Self-Supervised Pretraining for a Pathology Foundation Vendor
You receive a public pathology dataset (about 80,000 unlabeled whole-slide-image patches plus a labeled 8,000-patch subtype-classification subset across 4 classes). Pretrain a R…
- Supervised Learning
- Medical Imaging
- Transfer Learning
Machine Learning for Imaging and Medical Image Analysis - ResearchSeniorNew
Benchmark Conformal Prediction for a Healthcare Risk-Score
You receive a labeled dataset of about 25,000 patient encounters with the current risk-score's predictions and ground-truth 1-year outcomes. Implement and compare split conforma…
- Conformal Prediction
- Uncertainty Quantification
- Calibration
Statistical Machine Learning - Browse challenges
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Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
- ResearchSeniorNew
Certify Robustness for a Medical-Imaging Classifier
You receive the classifier (a PyTorch ResNet variant) and a 4,000-image labeled validation slice. Apply randomized smoothing (Cohen et al.) at sigma in {0.25, 0.5, 1.0}. Report …
- Certified Robustness
- Randomized Smoothing
- Formal Verification
Trustworthy AI, Robustness, and Safety - StrategySeniorNew
Hostile Takeover Defense for a Mid-Cap Pharma Firm
As a special M&A advisor to MediCore's board, you must analyze the bid, assess the company's intrinsic value, and recommend a defense strategy. Options include a poison pill, wh…
- Takeover Defense
- Valuation
- Negotiation
Mergers and Acquisitions - StrategySeniorNew
Service Quality Improvement for a Regional Hospital Chain
Your task is to conduct a gap analysis using SERVQUAL dimensions (reliability, responsiveness, assurance, empathy, tangibles) based on patient survey data (provided). Identify t…
- Service Quality
- Servqual
- Process Improvement
Service Operations Management - StrategySeniorNew
Revitalizing a Legacy Pharma Company's Innovation Pipeline
Your challenge is to propose a strategy execution framework that breaks down silos between R&D, regulatory, and marketing. The framework should include a new governance structur…
- Innovation Management
- Organizational Design
- Incentive Design
Strategy Implementation and Execution Build a verifiable portfolio.
Submissions become evidence. Reviewers with shipping experience score against a rubric; the result becomes a credential anyone can verify.
Why Ewance
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
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Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.