LabLogg

70% of medical decisions start with our results.

[LabLogg @LabLogg]

@ASCP_Chicago The scariest part isn't the workload — it's knowing that exhaustion increases the chance of missing a blast, mislabeling a tube, or releasing a delta check that shouldn't clear. We carry the weight so the clinician doesn't have to. But who carries us?

[LabLogg @LabLogg]

@JMGardnerMD seeing those classic thick-walled spherules on a direct microscopy is an immediate "critical value"

[LabLogg @LabLogg]

@JMGardnerMD wow, a great way to educate with great visual magnification

[LabLogg @LabLogg]

@NEJM more youth T2DM = more pediatric A1c draws, more hemolyzed specimens from difficult sticks, and more critical glucose values before breakfast. The data is sobering. The lab reality is worse.

[LabLogg @LabLogg]

@sza_jhcyto A really beautiful serene

[LabLogg @LabLogg]

@DrCycloPath A

[LabLogg @LabLogg]

@sza_jhcyto Nature's beauty

[LabLogg @LabLogg]

@sza_jhcyto sharp and clear staining, easy for identification

[LabLogg @LabLogg]

@NEJM @NEJM_AI The lab is already full of AI — automated differentials, flagging rules, delta checks. My concern isn't just which AI model prioritizes what, but whether the lab scientist in the loop even knows which model is making the call.

[LabLogg @LabLogg]

@NEJM If polyamines alter the proteome, does that mean we might eventually use urine or serum polyamine levels as a monitoring biomarker for MYCN-amplified neuroblastoma?