AI Cancer Research Dashboard

Integrative analytics platform combining genomic data, clinical trial results, and AI-generated insights to accelerate cancer research breakthroughs.

142
ACTIVE PROJECTS
32
ONGOING TRIALS
18
PENDING REVIEWS

Featured AI Discoveries Latest

High-Impact Breakthroughs
Breast Cancer Today

Novel Targeted Therapy Shows 89% Remission Rate

Our AI models identified a combination therapy for BRCA1 mutation carriers that significantly outperformed current treatments in phase 1 trials. This discovery has been fast-tracked by the FDA.

Combination Therapy Phase 2 CRISPR-VALIDATED
Lung Cancer Yesterday

AI Predicts Immunotherapy Response with 95% Accuracy

Deep learning analysis of tumor microenvironment signatures now allows unprecedented prediction of immunotherapy outcomes in NSCLC patients, potentially eliminating unnecessary treatments.

Immunotherapy Biomarkers Deep Learning
Leukemia 2 days ago

Breakthrough in CAR-T Therapy Resistance Prediction

Machine learning algorithms identified cellular signatures that predict CAR-T therapy resistance in leukemia patients, enabling personalized pretreatment conditioning that doubled remission duration.

CAR-T Therapy Resistance Prediction Personalized
Cases Analyzed
5,281,407
12%
Research Papers
18,726
8%
Novel Discoveries
427
22%
Research Teams
96
5%

Research Progress by Cancer Type

Research Funding Allocation

Latest Research Findings

Sorted by: Relevance & Impact

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Breast Cancer
3 days ago

Targeted Therapy for HER2-Positive Tumors Shows Promise in Advanced Cases

New AI-driven analysis shows 67% progression-free survival rate at 24 months for advanced HER2-positive breast cancer patients treated with novel combination therapy.

AI Synergy Team
High Impact
Download Report
Lung Cancer AI Prediction
1 week ago

Immunotherapy Response Prediction Model Achieves 94% Accuracy

Machine learning algorithms trained on genomic markers now predict immunotherapy outcomes in NSCLC patients with unprecedented accuracy, potentially reducing unnecessary treatment.

Oncogenomics Group
Algorithm
Analysis
Leukemia Pediatrics
2 weeks ago

Novel Biomarkers Predict Relapse Risk in Pediatric ALL Patients

AI analysis of methylome data identifies three biomarkers that predict relapse risk with 92% specificity, enabling personalized treatment pathways for childhood leukemia.

Pediatric Oncology
Biomarker
Dataset
Prostate ML Model
3 days ago

Genomic Classifier Improves Risk Stratification in Localized Prostate Cancer

New 12-gene signature identified through deep learning accurately predicts metastasis risk, enabling tailored treatment intensity and avoiding overtreatment in low-risk patients.

Urology Research
Genomics
Model Access

Research Progress Across Cancer Types

Breast Cancer 87%
Lung Cancer 64%
Prostate Cancer 72%
Lymphoma 59%

AI Research Insights

Updated 24 minutes ago

Key trend: Cross-cancer immune response patterns observed in 13% of metastatic patients show potential for pan-cancer immunotherapy approaches.

Emerging finding: Our AI models identified ESR1 gene mutations in unexpected tumor types, suggesting new applications for endocrine therapies.

Important alert: Data variance in triple-negative breast cancer samples requires recalibration of predictive models scheduled for next week.

AI Model Training Progress

Model Name Cancer Type Training Data Progress Accuracy ETA
GenClass-7B Breast 124,582 samples
92%
 94.7% 2h 18m
DeepResponse-L Lung 98,342 samples
78%
 89.2% 6h 42m
PathoDetect Prostate 212,430 samples
45%
 87.4% 1d 3h
ImmunoMatch Melanoma 76,895 samples
31%
 N/A 3d 8h